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CONTRIBUTION TO THE STRUCTURAL STUDY AND PETROLEUM INTEREST OF THE NORTHERN PART OF THE TANGANYIKA BASIN OF THE WESTERN BRANCH OF THE EAST AFRICAN RIFT OF D.R. CONGO
Yves Bolokole Mpehenzale Chadrack Lulaila Mongoto Albert Ongendangenda Tienge Tychique Moke Impumpu Aristide Mbongeli Kinda8/7/202510.51865/JPGT.2025.02.01engineering; technologyDiscoveries are succeeding each other as oil was perceived, a long time ago, as a rather rare resource in sub-Saharan Africa. Paradoxically, it is found everywhere, from Angola to Guinea-Bissau, then along the entire western coast, notably in Ghana, Ivory Coast, and other countries. In addition, for East Africa, interest is not only focused on offshore oil from the Indian Ocean (Mozambique, Tanzania), but also within the continent in the geological structures formed by the East African rifts. In our work, we consider the Tanganyika basin in the East African rifts. Indeed, in certain parts of the Tanganyika basin, oil seepages are visible, with a significant proportion on the side of the D.R.C. (Cap Kalamba), indicating the maturation of the source rock in this area. Thus, the Tanganyika basin has been the subject of hydrocarbon research by several companies, universities, and organizations. However, a problem arises; in 1987, former oil company AMOCO conducted a drilling campaign in the Ruzizi plain during which two wells were drilled, Buringa-1 and Ruzizi-1. Neither of these wells produced oil, and subsequently, AMOCO abandoned all its concessions in the rift region in 1989. This work consists of contributing to the reinterpretation of seismic data conducted by Duke University in 1983-1984 as part of the project PROBE (Proto-Rifts and Oceanic Basin Evolution) in the northern part of the Tanganyika basin, with a view to clarifying its structural model and its oil potential. Indeed, with the advancement of technology, the reinterpretation of these old data can prove important in that we may be able to highlight certain previously unnoticed information due to the limitations of interpretation tools. -
A REGRESSION MODELS OF THE GAS DRILLING WELL ERUPTION
Daniel Iancu Al-Gburi Hassan Ali Mosleh Timur-Vasile Chis6/27/202510.51865/JPGT.2025.01.25engineering; technologyDuring drilling operations carried out to explore or exploit oil and/or natural gas deposits, uncontrolled eruptions (technical accidents) have also occurred, which have led to damage to the well and, above all, have affected the capacity of the productive layers to continue producing under the initial conditions provided for in the exploitation projects. Also, the explosion of the Deepwater Horizon platform has brought the creation of numerical models (based on numerical regression or artificial intelligence) to avoid such accidents back into the discussion. We developed AI-based numerical regression models to prevent uncontrolled eruptions during Black Sea drilling. -
OPTIMIZATION OF AI-COORDINATED INTEGRATED THERMAL-ELECTRIC SYSTEMS FOR GEOTHERMAL WATER VALORIZATION: A CASE STUDY FROM CĂCIULATA REGION, ROMANIA
This study presents an innovative AI-coordinated approach for integrated thermal-electric systems applied to geothermal water valorization in the Căciulata region, Romania. The research combines advanced thermodynamic analysis with electrochemical extraction techniques and artificial intelligence for autonomous optimization. Based on comprehensive analysis of geothermal water characteristics following validated Romanian mineral water standards [1] and advanced AI modeling, results demonstrate significant optimization potential with estimated electricity generation of 1,262,665 kWh annually from 317,706 cubic meters of geothermal water processing. The AI system incorporates optimal mineral composition parameters with bicarbonate concentrations >20mEq% and Kurlow formula adaptations for maximum thermal conductivity. The AI-coordinated system shows enhanced economic viability with efficiency improvements of 15-25% and a payback period of 1.95 years. Environmental benefits include 838 tonnes annual CO₂ reduction and sustainable mineral recovery of 640,484 kg annually. The study contributes to advancing AI-integrated geothermal energy utilization and provides a scalable model for Industry 4.0 thermal facilities. -
END-TO-END SECURE WIRELESS SENSOR NETWORK USING PKI INFRASTRUCTURE AND RASPBERRY PI PICO W
Emil Gocan Gabriela Bucur Cristina Popescu6/16/202510.51865/JPGT.2025.01.23engineering; technologyIndustry 5.0 is the evolution of the industrial revolution that goes beyond automation and smart systems (Industry 4.0). It focuses on human-machine collaboration, sustainability, resilience, and security. The proposed security system also aligns with the vision of Industry 5.0, which emphasizes not only automation and efficiency but also cyber-resilience, sustainability, and human-centric design. By employing a Public Key Infrastructure (PKI) combined with JWT-based authentication and lightweight cryptographic techniques, the proposed system enhances the trustworthiness and adaptability of Wireless Sensor Networks (WSNs). These features are critical for Industry 5.0 environments, where secure collaboration between humans and intelligent devices is expected to be seamless, scalable, and resilient against emerging cybersecurity threats. This paper proposes a secure, lightweight, end-to-end architecture for WSNs using a Raspberry Pi Pico W microcontroller, digital certificates and a Public Key Infrastructure (PKI) server. The system uses AES and RSA cryptography, JWT-based authentication, and HTTPS communication to protect data from MITM, replay, spoofing, and injection attacks. Data collected from sensors is encrypted and sent via a REST API to a secure server with MySQL integration. The paper details the implementation, testing, and performance of this model and discusses its limitations and future improvements, including extended sensor coverage and blockchain-based trust models. -
A REVIEW OF HYDROGEN STORAGE IN GEOLOGICAL FORMATIONS
Rami Doukeh Alexandra Mohanu Daniel Nereamza Iuliana Cristea Mihai Adrian Albulescu Timur-Vasile Chiș6/7/202510.51865/JPGT.2025.01.22engineering; technologyThis review presents a thorough analysis of the technical, geological, and economic aspects of Underground Hydrogen Storage (UHS), positioning it as a key enabler for large-scale deployment of clean hydrogen supply chains. As global hydrogen demand increases particularly in traditional sectors such as refining and ammonia production the development of safe, seasonal, and scalable storage systems becomes essential to support renewable-based energy infrastructures. Geological hydrogen storage is identified as the most viable solution due to its advantages in volumetric energy density, intrinsic safety, and the availability of suitable subsurface structures such as salt caverns, depleted hydrocarbon reservoirs, and deep aquifers. Techno-economic analyses show that UHS is considerably more cost-effective and technically feasible for large volumes compared to surface-based storage methods. The review synthesizes real-world experiences from the UK, USA, and Austria, where field-scale pilot projects demonstrated up to 82% recovery of injected hydrogen with no significant degradation in reservoir integrity. The paper also highlights challenges related to microbial activity, particularly in porous formations with residual hydrocarbons or brine, where biological methanation or hydrogen loss could occur. A comparative analysis of hydrogen’s physical properties versus methane is included, focusing on density, viscosity, interfacial tension, solubility, and diffusivity, and how these influence hydrogen behavior in porous geologic media. Additionally, the role of cushion gas (e.g., CO₂, N₂, CH₄) is evaluated for its contribution to maintaining reservoir pressure and enhancing extraction performance. The gas selection is shown to significantly impact chemical compatibility, environmental risk, and operational efficiency. In conclusion, this review underscores that the successful deployment of UHS requires a multi-scale understanding of hydrogen dynamics in subsurface formations, supported by robust experimental validation and numerical modeling, to ensure safe, efficient, and climate-resilient storage operations over the long term. -
CONTRIBUTION TO THE GRAVIMETRIC AND MAGNETOMETRIC STUDY FOR THE IDENTIFICATION OF ZONES WITH OIL POTENTIAL IN THE CENTRAL BASIN: CASE OF BLOCKS 1 AND 24 IN THE DRC
César Tambashie Okitafumba Ravely Nsieto Lusakueno Michel Ndete Osée Mayinga Mayinga Bob Mayemba Kisaka Franklein Muamba Kanangila6/7/202510.51865/JPGT.2025.01.21engineering; technologyIn the search for hydrocarbons, geologists, geochemists and geophysicists work together on the scale of a sedimentary basin. They seek to identify a petroleum system in order to maximise the chances of finding an accumulation of hydrocarbons in a specific part of the subsoil. The exploration campaign in the Cuvette Centrale began in the 1950s with geological, geophysical, geochemical and drilling campaigns carried out by several foreign organisations, including the Belgian firm Remina. These campaigns provided key information about the petroleum systems. These include the presence of hydrocarbon showings and geological structures that may favour the formation, migration and trapping of hydrocarbons. The main aim of this work is to highlight the geological structures of major petroleum interest, while identifying the geological structures found in our study area, particularly in Blocks 1 and 24 in the central basin of the Democratic Republic of Congo, and their petroleum interest, based on the processing and interpretation of magnetic and gravity data. To better study our sedimentary basin, we used the method of regional-residual separation and variation of the Magnetic Field, we had to highlight the faults in different directions North-West towards the South-East, the collapse trenches localised in the North-East, the zones of uplift of Socle which today constitute the top of Inongo. As never done before, this study develops a structural reference model by integrating the analysis of Bouguer and magnetic anomalies. It aims to locate zones of source rock maturation, identify possible hydrocarbon migration paths and pinpoint geological structures conducive to hydrocarbon accumulation. The results, presented in map form, are a strategic tool for petroleum exploration and the analysis of regional tectonic dynamics. In particular, it provides an unprecedented and detailed geophysical record for Blocks 1 and 24 of the Cuvette Centrale, enabling a targeted and efficient assessment of petroleum potential. -
BASIC WELL LOG INTERPRETATION IN PYTHON PROGRAMMING LANGUAGE
Mihai Iorgandopol Patricia Tita6/6/202510.51865/JPGT.2025.01.20engineering; technologyPython has rapidly become the programming language of petroleum geoscientists during the last decade. It is used widely in development, research and scientific activities and is included in many commercial software as an option for additional scripting purposes. Geophysical well log data interpretation is one of the most useful and important tools available to a petroleum geologist [12]. The results of log analysis and interpretation play an important role in the decision making in oil and gas activities throughout the exploration, development and production stages. The standard log interpretation workflow for petrophysical analysis of the wells includes: data loading, QC and editing (1); borehole environmental corrections (2); calculation of shale volume (3); porosity calculation (4); water saturation calculation (5); identification of lithology type (6); estimation of net and pay thickness (7). In this tutorial it is shown how to use Python programming code to carry out the standard well log interpretation steps. Third-party libraries have been used in the tutorial: Matplotlib was used in the graphical parts of the scripts; Pandas library was used as a data analysis and manipulation tool. In addition, the following specifically designed Python libraries were used for log data reading and calculations: Lasio, a Python package to read and write Log Ascii Standard (LAS) files and petrophysics, which is a library containing a petrophysical collection of formulas written as Python functions. -
ANALYSIS OF THE PERFORMANCE OF THE TSHIENDE OIL FIELD DURING WATER INJECTION
Joseph Lukola Empenga Dominique Wetshondo Osomba Daddy Balondo Iyela Dona Kampata Mbwelele Joel Kabesa Kilungu6/6/202510.51865/JPGT.2025.01.19engineering; technologyWe analysed the efficiency of the production technique used by Perenco in the Tshiende oil field in the Democratic Republic of Congo. Initially, this field produced oil by natural drainage, based on the mechanisms of fluid expansion and rock compressibility. However, in 1986, a drop in reservoir pressure led to a reduction in production, making it necessary to adopt water injection to compensate for this loss and optimize hydrocarbon recovery. This research responds to the imperative of satisfying growing energy demand while preventing the early abandonment of fields. We used a data storage unit, a computer system and specialized software to process and analyses the data collected. The results show that water injection has considerably improved field performance. Oil production increased and the average reservoir pressure remained above the bubble pressure (927). In addition, the volume of water produced (128907050 m3) gradually exceeded the volume of water injected (107348149 m3), demonstrating the effectiveness of the reservoir sweep. However, variations in the injection rate created imbalances between injection and withdrawal. In 2014, the Voidage Replacement Ratio (VRR) was equal to 1, indicating a temporary equilibrium. The relationship between oil production and VRR confirms that the production rate is directly dependent on the amount of water injected, signalling inactivity in the aquifer. Between 1986 and 1991, the production of oil and water was almost equivalent, but currently, the production of water exceeds that of oil, indicating that the water produced is greater than the water injected. Thanks to the injection of water, the recovery rate for the Tshiende field has increased significantly, from 2.6% to 39.8%, due to the improved efficiency with which the oil is displaced. A volume of water corresponding to that of the pores occupied by the hydrocarbons exceeds 0.90, showing that water saturation is greater than that of the oil. In conclusion, water injection has proved to be an effective solution for extending the productive life of the Tshiende field and improving its recovery rate. We recommend that the company continue to investigate the existence of an aquifer in the field and explore other development campaigns, particularly in the Pinda reservoir, where the results promise new production opportunities. -
DRILLING OPTIMIZATION IN ROMANIAN GAS FIELDS USING ADVANCED DIGITAL TOOLS
Viorel Dragomir Bogdan Andrei Ionete Dragos Răzvan Dicu Mihail Tudose Lazăr Avram Liviu Dumitrache6/5/202510.51865/JPGT.2025.01.18engineering; technologyThe continuous evolution of the energy industry, driven by decarbonization goals and digital transformation imperatives, has led to significant advancements in drilling operations. This article explores the integration of advanced digital tools, real-time monitoring systems, predictive analytics, and automated drilling rigs as key enablers of operational excellence in upstream activities. A comprehensive overview is provided on how closed-loop digital workflows, adaptive control systems, and automation technologies have improved drilling efficiency, reduced non-productive time (NPT), enhanced safety, and supported environmental sustainability efforts. The paper presents an in-depth case study conducted in a Romanian gas field, where targeted drilling optimization initiatives were implemented across multiple well sections. In addition to digital enhancements, the use of Non-Aqueous Drilling Fluids (NADF) was a decisive factor in overcoming geological challenges associated with reactive shales and unstable formations. Compared to conventional Water-Based Muds (WBM), NADF systems delivered superior wellbore stability, reduced filtrate invasion, higher rate of penetration (ROP), and improved compatibility with directional drilling. Through real-time parameter adjustments, connection efficiency improvements, surveying strategy optimization, and dynamic management of critical-path activities, cumulative time savings exceeding five rig days per well were achieved. The study also highlights the benefits of predictive maintenance, adaptive drilling practices, and digital twin simulations as future avenues for further optimization. The findings demonstrate that a strategic approach combining advanced technology, high-performance drilling fluids, real-time operational intelligence, and continuous improvement frameworks can substantially enhance drilling performance, reduce costs, and support sustainable field development. The article concludes by identifying future focus areas such as adaptive drilling systems, machine learning-driven predictive analytics, expanded use of digital twins, and organizational standardization, offering a roadmap for achieving resilient and competitive drilling operations in the context of the global energy transition. -
BEARING TYPE – CRITERIA, APPLICATIONS AND TECHNICAL RECOMMENDATIONS
Daniela Costache Răzvan George Rîpeanu6/3/202510.51865/JPGT.2025.01.17engineering; technologyThe choice of the suitable bearing type is a significant step in the mechanical design, which has a direct impact on the system performance, reliability, and efficiency. Bearings are devices that are used to enable rotational or linear movement, while reducing friction and handling stress. Selecting the right bearing entails a multi-objective decision process which considers factors such as the application requirements (e.g. the type and magnitude of the load, the speed, misalignments, the temperature, the lubrication, the environment, spatial constraints). For example, deep-groove ball bearings are widely used in electric motors and other household appliances, they are capable of carrying moderate radial and axial loads simultaneously at high speeds; while tapered roller bearings, used for vehicles' wheel hubs, are capable of carrying combined loads and large loads in one direction. In high-speed spindles or precision instruments angular contact ball bearings are best when greater high-speed capability is required and in also handling axial loads and being able to be positioned and accurate enough for precision mounting, especially in the tightness of the corner that the bearings are being used. However, spherical roller bearings are ideal if the machine component being supported also experiences misalignment and is subjected to shock loads. Various other environmental conditions including dust, moisture, and corrosive substances may require sealed or shielded bearings or alternative materials (e.g., ceramics, polymers). Additionally, maintenance access, expected working life also is an important factor to consider whether a bearing requiring lubrication, is sealed for life or can take tough working cycles. Hence, the selection of a bearing cannot be made simply on the basis of the theoretic or empiric evidence, but requires a comprehensive knowledge of mechanical and tribological fundamentals, combined with experience and taking into account industry standards and the recommendations of the bearing manufacturers. This procedure leads to increased useful life of the devices, reduction in downtimes, and to improved effectiveness of the systems in a vast spectrum of engineering applications. -
RESEARCH ON THE OPTIMAL PERFORMANCE OF TASKS UNDER REDUNDANCY CONDITIONS IN THE CASE OF A ROBOT WITH FIVE DEGREES OF FREEDOM
The fulfillment of programmed tasks by industrial robots in redundant conditions occurs when a robotic system has more degrees of freedom than would be necessary to accomplish the task. From the point of view of mechanical modeling of robotic structures, this translates into the fact that the number of motor coordinates of the robot is greater than would be necessary and sufficient to ensure the position and orientation of the robot's end effector required by the task. In such situations, there is the possibility of optimally performing the programmed task under the conditions of meeting certain criteria that may refer to better accessibility of the robot's workspace in the presence of obstacles, achieving a minimum in terms of movements at the level of the robot's motor axes or obtaining motor coordinate values as far as possible from the edges of their variation ranges. The paper analyzes the case of a robot with five rotation modules whose task is to ensure a trajectory imposed at the origin of the coordinate system attached to its end effector. The redundancy case is analyzed by imposing as an optimization criterion the achievement of a minimum of displacements at the motor axes level of the analyzed robot. Finally, the results obtained for the variation of motor coordinates in the case of a linear interpolation of the end effector movement are presented. -
ANALYSIS OF PINDA RESERVOIRS IN THE MOTOBA FIELD: METHODOLOGY, LITHOLOGICAL CHARACTERISTICS, AND POTENTIAL ZONES FOR WATER INJECTION
Marlin Agolo Monza Joël Etshekodi Lohadje Louis Lungu Malutshi Jean Manteke Kabay Franck Tondozi Keto Dan Tshimini Mutelu5/27/202510.51865/JPGT.2025.01.15engineering; technologyThe paper presents a comprehensive study of the Pinda reservoirs in the Motoba field, Democratic Republic of Congo (DRC), highlighting the methodology adopted to collect and process geological and petrophysical data. The analysis focuses on the LP1, LP2, and LP3 layers, with the primary objective of locating suitable areas for the establishment of injector and producer wells. The analysis includes data collection and processing, followed by result interpretation to create maps of isobaths and iso-values of hydrocarbons in place. Tools such as Grapher and ArcGIS were used to visualize this information. The history of the Motoba field, discovered in 1975, is also discussed, illustrating the challenges and successes of production, particularly the water injection initiated in 1998 and resumed in 2011. The regional geology and stratigraphy of the Pinda formation are described, emphasizing the lithological complexity and diagenetic processes that have influenced reservoir quality. The study reveals that the Lower Pinda reservoir is divided into sub-units, each exhibiting distinct petrophysical characteristics. Data on porosity, saturation, and clay content were analyzed to establish a dynamic model for evaluating hydrocarbons in place. The results from the isobath maps show significant depth variation, identifying favorable areas for well implantations, particularly in the Northwest, East, and Southeast. Recovery factor analyses and GOR indicate opportunities for resource optimization, with regions identified as suitable for water injection. In conclusion, this paper underscores the importance of a methodical approach in reservoir evaluation and strategic planning of injection operations in the Motoba field. -
PICK AND PLACE ROBOTIC CELL SIMULATION USING RoboDK SOFTWARE
Traian-Andrei Pană Gabriela Bucur5/23/202510.51865/JPGT.2025.01.14engineering; technologyn the era of advanced technology, the automation of industrial processes has become an essential element for improving efficiency and productivity. One of the most relevant aspects of this phenomenon is the development of robotic systems capable of performing repetitive tasks with a precision and speed superior to human ones. The objective of the work is the design and implementation of a robotic arm intended to perform the "pick and place" function, an essential process in numerous industrial fields, from product manufacturing to logistics and assembly. Pick and place involves picking an object from a specific location and placing it in another position. This task, while seemingly simple, is fundamental to the production flow of many industries. For example, in automobile manufacturing, components must be handled with care to ensure the quality and integrity of the final product. In logistics, robotic arms are used to organize goods in warehouses, reducing handling time and human error. The article presents the structure and operating specifications for the Doosan Robotics M1013 robot, as well as the RoboDK software, with its main features and application areas. After defining the specifications and selecting the hardware components, such as servo motors, sensors and control modules of the manufacturing cell, we move on to the design stage, where a 3D model of the robotic arm will be created. This model will allow the simulation of the robot's operation and the anticipation of possible problems, before the physical construction. -
RESEARCH ON THE KINEMATICS OF A MECHANISM WITH A TRIAD AS A COMPONENT
The structural approach to mechanisms from the perspective of component kinematic groups shows that as the class of component groups increases, the complexity of the mechanisms that contain them also increases. From this perspective, it is obvious that solving problems related to the kinematics of these mechanisms also becomes much more difficult to put into practice. In such cases, when mechanisms contain kinematic groups of a class greater than two, determining the analytical expressions of the parameters that establish the configuration of the mechanism during operation is extremely difficult. Therefore, in such cases, the development of some numerical calculation algorithms is indicated. The present paper analyzes the operation of a mechanism that has a triad as a component, in which one of the component kinematic joint is translational. To determine the variation of the position parameters, an iterative numerical calculation algorithm was developed and transposed into a computer program that allows the simulation of the functioning of the analyzed mechanism. Finally, the variation curves of these parameters over a kinematic cycle are presented, for a working configuration of the analyzed mechanism. -
MINI-FALL OFF TESTS AS A COST-EFFECTIVE TOOL FOR RESERVOIR CHARACTERIZATION AND DST DECISION-MAKING IN DEEPWATER CONVENTIONAL RESERVOIRS
Eghbal Motaei Tarek Ganat Seyed Mehdi Tabatabai5/19/202510.51865/JPGT.2025.01.12engineering; technologyThis research introduces a methodology employing Mini-Fall Off injection tests to enhance reservoir characterization and inform Drill Stem Testing (DST) decision-making in deepwater conventional reservoirs. The methodology begins with log-driven permeability estimation, which is corrected using mobility data from Wire Formation Tester (WFT) point results. Despite these corrections, uncertainties persisted regarding the dominant permeability, which is crucial for ensuring the minimum required deliverability for DST. To address these uncertainties and flow assurance challenges, the Mini-Fall Off injection test was employed to estimate permeability within the target flow zone unit of the conventional reservoir. This approach allowed for precise permeability assessment in specific zones, thereby enhancing the overall understanding of reservoir quality and well deliverability. The Mini-Fall Off test provided critical Value of Information (VOI) by revealing that the well deliverability did not meet the minimum required flow rates for DST, leading to the cancellation of DST and substantial cost savings. The application of Mini-Fall Off tests demonstrates a significant advancement in reservoir assessment strategies, offering a cost-effective and efficient alternative to traditional methods. By integrating log-driven permeability data with WFT-derived mobility data and employing the Mini-Fall Off test, the methodology provides a comprehensive framework for reducing uncertainties and optimizing resource allocation in the oil and gas industry. Furthermore, this technique underscores the importance of VOI in data acquisition and decision-making processes throughout the asset lifecycle, from exploration to development. The results of this study highlight the potential for Mini-Fall Off tests to become a standard practice in reservoir characterization, particularly in deepwater conventional reservoirs where cost and efficiency are paramount. This work presents a novel, cost-effective approach to obtaining accurate reservoir characterization, thereby demonstrating its potential to optimize operational efficiency and resource management in the oil and gas sector. -
THE IMPACT OF FEATURE SELECTION AND DATA PRE-PROCESSING ON ML MODELS
Alexandru-Carlos Vlad Emilian Marian Iovanovici5/11/202510.51865/JPGT.2025.01.11engineering; technologyThis research aims to identify issues with datasets that affect the training of machine learning models. The paper demonstrates the impact of feature processing on the model evaluation metrics. Initially, the paper evaluates unprocessed categorical features based on customized rules. The results of the seven evaluated algorithms show very low metric values. The demonstration is conducted on a dataset with 16 features for predicting depression among students. The dataset consists of 7,022 records. The issue of depression was chosen because it involves many features, which facilitate the analysis of the correlations between them. Moreover, the large number of features and records allowed for the analysis of generalization capacity by training on different dataset scenarios for all seven algorithms. The demonstration shows that data pre-processing generates better results when the inputs are exclusively numerical. Subsequently, the research demonstrates the importance of individually analyzing the contribution of each parameter within the model. The study encompasses three categories of tests, which are implemented using the ML.NET framework in the C# programming language. -
RESEARCH ON THE GENERATION OF INTERPOLATED MOVEMENTS IN THE CASE OF A ROBOTIC MECHANISM WITH ANTHROPOMORPHIC STRUCTURE
The implementation of robotic system commands, along with the design of the component mechanisms, contributes to their correct functioning while performing various tasks. In this sense, the precise generation of interpolated movements at the level of the end effectors from the component of robotic mechanisms is particularly important in the optimal performance of tasks in many industrial applications. Compared to the point-to-point commands, the interpolated commands are intended to pilot the robotic mechanisms so that their final effectors follows an imposed trajectory in the operational space of the robot with an imposed hourly law. The paper presents a method for generating interpolated movements in the case of a robotic system whose active mechanism has an anthropomorphic structure. The presented method uses the differential model of the analyzed robotic system. The introduced interpolation is linear, and the hourly law used is in the form of a polynomial of the fifth degree. Within the simulations performed, the four possible configurations of the anthropomorphic robotic mechanism that allow the achievement of the imposed task were highlighted. Finally, for one of these configurations, the variation curves of the coordinates corresponding to the actuation motors for a certain task are established. -
CONTRIBUTION TO THE GEOLOGICAL AND PETROLEUM STUDY OF THE WEST-CONGOLIAN BASIN – CASE OF CARBONATES IN THE KITOBOLA REGION IN CENTRAL CONGO, D.R. CONGO
Ravely Nsieto Lusakueno Saint Bob Nsasa Bazona César Tambashie Okitafumba Gardiner Samba Vanga Grace Tshimanga Kamba Anselme Mavambou Mbadou4/30/202510.51865/JPGT.2025.01.09engineering; technologyPrevious studies carried out in the West-Congolian basin have highlighted potential formations that could play a major role in a petroleum system. In order to complete and enrich the geological and petroleum dossier of the said basin, a field trip to the Kitobola locality in the province of Central Congo was necessary to sample, analyze and describe the carbonate formations that outcrop there, in order to detect their importance from a petroleum point of view by describing and analyzing their mineralogical characteristics, and geochemical characteristics of these rocks, as well as evaluating their basic petrophysical parameters, notably porosity and permeability, in order to determine the role they might play in a petroleum system. Samples were sent to CRGM laboratories for petrographic, petrophysical and geochemical analyses, which revealed the presence of limestones (mudstones, wackestones and pelmicrite) with low porosity ranging from 1.18 to 1.49% and near-zero permeability between 0.2 and 0.5 mD. Geochemical analyses revealed a TOC ranging from 0.9 to 1.3 and high proportions of calcium oxide CaO associated with the limestones. As a result, these formations cannot be used as reservoirs, but rather as blankets, given their low porosity and near-zero permeability. On the other hand, they would make excellent source rocks in a petroleum system, given their very satisfactory TOC values. This article provides new information on the intrinsic characteristics (petrographic, petrophysical and geochemical) of the carbonate formations outcropping in the Kitobola region of the West Congolian Basin, while also highlighting potential source rocks or blankets. -
A CONCRETE DROPOUT NEURAL NETWORK FOR SHEAR SONIC LOG PREDICTION
Ephraim Ojoajogu Enemali Sulaiman Alhaji Dodo Ibrahim Ibraheem Salaudeen Mahmud Abubakar Abdulmalik4/22/202510.51865/JPGT.2025.01.08engineering; technologyAssessing the risk associated with drilling and wellbore stability studies requires the shear sonic log. These logs apart from distinguishing formation fluid from lithology are needed to obtain geo-mechanical rock parameters required for the safe design of rock fracturing. Although sonic logs are of great importance, they are usually not obtained due to the limiting cost of acquisition. Neural networks have been used to generate these logs to save cost, but these networks are prone to overfitting. The dropout rate has been proposed to tackle this problem, however selecting the optimum dropout probability rate can be challenging manually or expensive computation wise. This research therefore investigated concrete dropout, a dynamic technique for adapting the dropout rate of a neural network to the data. The concrete dropout technique was applied to an artificial neural network (ANN) and a convolutional neural network (CNN) model to predict the shear sonic log with Monte Carlo simulation. Comparison was also made with the deterministic ANN and CNN models which had no dropout layers added and a Bayesian-optimized multilayer perceptron (MLP) model. These models were trained and validated with four (4) wells from the Volve field, using features with the highest correlation. The Concrete dropout ANN was found to outperform both the deterministic versions and the MLP model with R2, RMSE, MSE and MAE scores of 0.9548, 3.6415, 2.4433 and 0.0179 respectively. The neural networks built in this study showed an enhanced predictive performance with concrete dropout addition over the networks with no dropout added, showing that the technique was able to adapt the dropout rate to fit the nature of data and improve performance, which finds great application in real time deployment. The findings of this study also proposed a cost-effective way of sampling and averaging multiple outputs from a single neural network model, leading to enhanced predictive performance as the addition of concrete dropout allowed the network output distributions rather than point predictions. -
DETERMINATION OF AREAS SUITABLE FOR THE DETECTION OF GEOLOGICAL STRUCTURES IN THE LOKORO SUB-BASIN USING THE MAGNETIC METHOD
Chadrack Lulaila Mongoto Franck Tondozi Keto Dody Maponda André Yelembangu Ngwey Yves Bolokole Mpehenzale4/18/202510.51865/JPGT.2025.01.07engineering; technologyThis work focuses on identifying potential areas in the Lokoro sub-basin, a strategic region located in the south-western part of the central Congolese basin. Covering an area of 51,759 km², this sub-basin encompasses the Mai-Ndombe province. Mapping the geological structures of this area is essential for highlighting hydrocarbon potential, a crucial aspect for future tenders. The study is based on the processing and analysis of magnetic data collected in the Lokoro sub-basin. The magnetic method, which evaluates the distortions of rocks buried in the earth's crust, enables the interpretation of magnetic anomalies linked to subsoil susceptibility. This approach provides clues to geological formations likely to accumulate hydrocarbons, offering valuable insight to prospectors. The anomalies detected may indicate the presence of geological structures favorable for hydrocarbon accumulation. By deepening our understanding of the geological structures of the Lokoro sub-basin, this research facilitates the exploration and exploitation of petroleum resources in this promising region. In sum, this study is a crucial step in revealing the hidden potential of the Lokoro sub-basin and in guiding petroleum exploration efforts in this resource-rich area. -
TECHNO-ENVIRONMENTAL PLANNING OF AN EXPLORATION CAMPAIGN IN PROTECTED AREAS – THE CASE OF THE BOMBO-LUMENE HUNTING ESTATE AND RESERVE (D.R. CONGO)
Prosper Aida Monkenya Osée Mayinga Mayinga Jacques Moliba Bakanza Shams Mbudi Diambu Jonathan Nsimba Kanga Louis Ekaa3/3/202510.51865/JPGT.2025.01.06engineering; technologyPlanning is a strategic approach that determines the orientations and objectives of a society in relation to the evolution of its territory. It serves as an appropriate tool for promoting sustainable development. In this context, the primary aim of this study was to design an exploration campaign in protected areas to minimize the potential risks that this initiative could pose to the well-being of local populations. Furthermore, it is crucial to establish new perspectives that could assist exploration engineers in conducting their various studies under normal and safe conditions. Through the techniques, methods, and tools applied during this study, we have discovered a central structure in our study area, which we consider a significant element that could certify the presence of a hydrocarbon deposit. Planning thus proves to be one of the most effective solutions for successfully carrying out an exploration campaign in protected areas, with the objective of minimizing the negative impact on the targeted site. By integrating appropriate management strategies and involving stakeholders, we can ensure a harmonious coexistence between exploration activities and environmental preservation. -
APPLICATION OF PHOTO-INTERPRETATION AND REMOTE SENSING TECHNICS FOR GEOLOGICAL MAPPING – CASE OF THE REGION OF ZAGORA, MOROCCO
Emmanuel Biba Kalengo Arice Ingrid Sogui Ilias Kacimi Divin Kuniema Boniface Lumpungu2/27/202510.51865/JPGT.2025.01.05engineering; technologyThe current era of digital technology has opened up endless possibilities for exploring and understanding our world. Among these advances, Geographic Information Systems (GIS) and remote sensing have revolutionized our ability to study and interpret geological phenomena without being physically present on the ground. The objective of this study therefore aims to use these tools to develop a more in-depth understanding of the geology of the Zagora province, a region of Morocco, using Landsat 9 images to produce a detailed geological map of the region characterized by a diversity of geological formations thus coupling the photo-interpretation approach and the Random Forest supervised classification algorithm. The results highlighted lithostratigraphic units, hydrographic networks and faults with great precision. The integration of these two methods provided complementary information, improving the accuracy and detail of the geological mapping of the area and highlights the importance of remote sensing tools and GIS for geological analysis and resource management. -
IMPROVEMENT OF THE DRINKING WATER SUPPLY NETWORK BY STRENGTHENING PRODUCTION USING DRILLING TECHNICS – CASE OF THE MOKALI QUARTER IN THE KIMBANSEKE TOWNSHIP, DR CONGO
Emmanuel Biba Kalengo Glory Munkama Ley Luyi Mpata Samuel Diangitukulu Leonard Kabeya Mukeba Yakasham2/24/202510.51865/JPGT.2025.01.04engineering; technologyEveryone is aware that access to or the search for drinking water is one of the major problems that bother all of humanity. The quarter of MOKALI, in the Kimbanseke township in the Democratic Republic of Congo, also faces challenges in ensuring an adequate supply of drinking water. Current infrastructures, designed several decades ago, are struggling to meet the growing demands of the population. This study focuses on improving the drinking water supply network by strengthening water production through the implementation of advanced drilling technics. Recent studies have highlighted the effectiveness of drilling as a method of accessing deeper aquifers, less prone to contamination and more sustainable over time [1]. In Mokali quarter, the integration of these techniques has not only improved water availability, but also reduced reliance on surface water sources, which are often polluted and unreliable [2],[3]. The use of rotary drilling technology, in particular, has enabled the extraction of high-quality groundwater from depths previously considered inaccessible [3]. The implementation of these technics was coupled with the modernization of the water distribution network, ensuring that the increase in production capacity directly translates into better access for the local population [3],[4]. The results of this study indicate a significant reduction in water shortage incidents and an overall improvement in public health outcomes in Mokali quarter. The success of this project suggests that similar strategies could be applied effectively in other regions facing comparable challenge. -
OCCUPATIONAL RISK ASSESSMENT FOR CHEMICAL LABORATORY STAFF WORKING IN CHROMATOGRAPHY – SAMPLING – WASTEWATER ANALYSIS WITHIN S.C. ROMPETROL QUALITY CONTROL LLC
An effective Occupational Health and Safety risk assessment is crucial for identifying potential hazards in the workplace and implementing measures to minimize harm. By evaluating risks, organizations can create a safer environment for employees, ensuring compliance with safety regulations and enhancing overall productivity. Regular assessments foster proactive safety culture and prevent accidents before they occur, ultimately promoting employee well-being and reducing organizational liabilities. This article aimed to analyze and assess the risks of injury and illness, identify the preventive and protective measures necessary to ensure a healthy and safe working environment, so as to highlight the importance of assessing the occupational risks associated with the jobs of chemical laboratory workers within the investigated company, focusing in particular on chromatography, sampling and waste water analysis activities. The results of the research facilitated the adoption of the most suitable measures to mitigate the risks highlighted as being located in the field of unacceptability. Through the careful and systematic examination of the activities carried out by chemical laboratories and the identification of potential hazards and related risks, practical and effective solutions to protect workers safety and health were already implemented. -
ASSESSMENT AND REDUCTION OF ENVIRONMENTAL RISKS RELATED TO THE TRANSPORT, STORAGE AND DISTRIBUTION OF PETROLEUM PRODUCTS IN KINSHASA – A SEP-CONGO CASE STUDY
Gracias Kingombe Manianga Albert Mbosei Lobota Alfred Ngangura Amisi Denis Esongo Lomonde Augustin Bangama Kabongo Jean Iyolo Lungembo2/2/202510.51865/JPGT.2025.01.02engineering; technologyAssessing and managing environmental risks in the oil industry is crucial to ensuring operational safety and corporate sustainability. In the case of Sep-Congo in Kinshasa, where petroleum product transport, storage and distribution activities are intensive, a proactive approach is required. Petroleum products present hazards such as toxicity, flammability and volatility, requiring rigorous risk identification. Dynamic risk assessment methods, such as DyPASI and DRA, enable potential accident scenarios to be updated in real time by incorporating data on past incidents and monitoring safety indicators. These approaches provide a visual representation of risks and help to make informed decisions to minimize hazards. By integrating these methodologies, Sep-Congo can strengthen its safety measures and ensure effective operation in the face of environmental challenges.
ISSN print: 2734–5319
ISSN online: 2972–0370
ROMANIAN JOURNAL OF PETROLEUM & GAS TECHNOLOGY
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