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Proceedings Papers

Assessing the Impact of Fault Seal on Hydrocarbon Accumulation: The Result of a Blind Well Test, Onshore Niger Delta

Prosper Tochukwu Uzoma, Jacqueline Booth, Kelechi Uzoma, Titus Murry, Lanre Abidoye, Peter Macaulay, Olaitan Kobiowu
Paper presented at the SPE Nigeria Annual International Conference and Exhibition, August 5–7, 2024
Paper Number: SPE-221652-MS
https://doi.org/10.2118/221652-MS
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View Paper titled, Assessing the Impact of Fault Seal on Hydrocarbon Accumulation: The Result of a Blind Well Test, Onshore Niger Delta
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Proceedings Papers

Proven, Probable, Possible, and Contingent Natural Gas Reserves: A Concise and Holistic Review of Major Critical Developmental Steps

Adeniyi Adekunle Tirimisiyu, Anselm Iuebego Igbafe
Paper presented at the SPE Nigeria Annual International Conference and Exhibition, August 5–7, 2024
Paper Number: SPE-221618-MS
https://doi.org/10.2118/221618-MS
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View Paper titled, Proven, Probable, Possible, and Contingent Natural Gas Reserves: A Concise and Holistic Review of Major Critical Developmental Steps
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Proceedings Papers

Progressive Evaluation and Acquisition Strategies for Improving Success in Re-Entering Abandoned Oil and Gas Well in a Niger Delta Marginal Field

A. Ifediora, I. Adesokan, B. Olusola, A. Shittu, B. Osadipe
Paper presented at the SPE Nigeria Annual International Conference and Exhibition, August 5–7, 2024
Paper Number: SPE-221658-MS
https://doi.org/10.2118/221658-MS
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View Paper titled, Progressive Evaluation and Acquisition Strategies for Improving Success in Re-Entering Abandoned Oil and Gas Well in a Niger Delta Marginal Field
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Proceedings Papers

Ultrasound Assisted Surfactant Nanofluid Oil Recovery from Contaminated Oily Sludge

Y. Manikumar, N. I. Panis, N. Ridzuan, J. Gbonhinbor, C. Umunnawuike, A. Agi
Paper presented at the SPE Nigeria Annual International Conference and Exhibition, August 5–7, 2024
Paper Number: SPE-221601-MS
https://doi.org/10.2118/221601-MS
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View Paper titled, Ultrasound Assisted Surfactant Nanofluid Oil Recovery from Contaminated Oily Sludge
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Proceedings Papers

A Novel Approach to Shale Stability Enhancement in Drilling Fluid Using Nano-Crystalline Hydroxyapatite Treated with Anionic Sodium Dodecyl Sulphate

J. O. Oseh, M. N. A. M. Norddin, U. I. Duru, N. Ridzuan, I. A. Oguamah, N. Okoli, E. N. Ngouangna, I. Ismail, A. O. Gbadamosi, M. N. Yahya, J. Gbonhinbor, A. Agi
Paper presented at the SPE Nigeria Annual International Conference and Exhibition, August 5–7, 2024
Paper Number: SPE-221621-MS
https://doi.org/10.2118/221621-MS
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View Paper titled, A Novel Approach to Shale Stability Enhancement in Drilling Fluid Using Nano-Crystalline Hydroxyapatite Treated with Anionic Sodium Dodecyl Sulphate
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Proceedings Papers

Ensemble Machine Learning for Real-Time Sonic Log Prediction in Geothermal Exploration

Umeh Anthonio, Ndubuisi Okereke, Nwala Vincent, Ekeh Blessing
Paper presented at the SPE Nigeria Annual International Conference and Exhibition, August 5–7, 2024
Paper Number: SPE-221632-MS
https://doi.org/10.2118/221632-MS
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View Paper titled, Ensemble Machine Learning for Real-Time Sonic Log Prediction in Geothermal Exploration
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Proceedings Papers

Gas Reserve Estimation and Performance Prediction of a Fracture-Dominated Unconventional Reservoir Using Weibull Model

Shaibu Mohammed, Yaw Akyampon Boakye-Ansah
Paper presented at the SPE Nigeria Annual International Conference and Exhibition, August 5–7, 2024
Paper Number: SPE-221582-MS
https://doi.org/10.2118/221582-MS
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View Paper titled, Gas Reserve Estimation and Performance Prediction of a Fracture-Dominated Unconventional Reservoir Using Weibull Model
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Proceedings Papers

Production Forecasting in Gas Lifted Wells using Interpretable Machine Learning Techniques

S. O. Isehunwa, G. T. Awojinrin, P. Oluwatayo
Paper presented at the SPE Nigeria Annual International Conference and Exhibition, August 5–7, 2024
Paper Number: SPE-221631-MS
https://doi.org/10.2118/221631-MS
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View Paper titled, Production Forecasting in Gas Lifted Wells using Interpretable Machine Learning Techniques
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Proceedings Papers

Optimization of Polymeric Nanofluid Oil Recovery Mechanisms at Reservoir Condition

M. Al_Ani, N. I. Panis, Y. Manikumar, M. A. Sidek, M. Z. Jaafar, N. Ridzuan, J. Gbonhinbor, C. Umunnawuike, B. Money, A. Agi
Paper presented at the SPE Nigeria Annual International Conference and Exhibition, August 5–7, 2024
Paper Number: SPE-221597-MS
https://doi.org/10.2118/221597-MS
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View Paper titled, Optimization of Polymeric Nanofluid Oil Recovery Mechanisms at Reservoir Condition
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Proceedings Papers

Property Aggregate Approach for Hydrocarbon Prediction Using Integrated 3D Seismic and Well log Data

Ayodere Daniel, Ayonma Wilfred Mode, Anselm Iuebego Igbafe, Olusola Auledayo Adesmia
Paper presented at the SPE Nigeria Annual International Conference and Exhibition, August 5–7, 2024
Paper Number: SPE-221675-MS
https://doi.org/10.2118/221675-MS
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View Paper titled, Property Aggregate Approach for Hydrocarbon Prediction Using Integrated 3D Seismic and Well log Data
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Proceedings Papers

Machine Learning Approach for Reservoir Petrophysical Properties Prediction from Well-Logs Data in the Niger Delta

Antigha Effiong Eyo, Anietie Ndarake Okon, Kilaliba Wanaemi Tugwell
Paper presented at the SPE Nigeria Annual International Conference and Exhibition, August 5–7, 2024
Paper Number: SPE-221719-MS
https://doi.org/10.2118/221719-MS
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View Paper titled, Machine Learning Approach for Reservoir Petrophysical Properties Prediction from Well-Logs Data in the Niger Delta
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Proceedings Papers

Revisiting Troubleshooted Drill Stem Test: Methodological Framework Incorporating Artificial Intelligence

A. H. Abbas, G. Serikov, Y. Zhuniskenov, A. Serikkali, F. Nyah, N. Ridzuan, J. Gbonhinbor, A. Agi
Paper presented at the SPE Nigeria Annual International Conference and Exhibition, August 5–7, 2024
Paper Number: SPE-221608-MS
https://doi.org/10.2118/221608-MS
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View Paper titled, Revisiting Troubleshooted Drill Stem Test: Methodological Framework Incorporating Artificial Intelligence
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Proceedings Papers

Maximizing Well Construction Strategy for Combined Appraisal and Development in Stacked Reservoirs –A Case Study

Mirian Kosi Orji, Ademola Olatunbosun, Olamide Kumapayi, Gbenga Abe, Ihuoma Inwere, Nina Bassey, Jumoke Akinpelu, Esigie Benson
Paper presented at the SPE Nigeria Annual International Conference and Exhibition, August 5–7, 2024
Paper Number: SPE-221687-MS
https://doi.org/10.2118/221687-MS
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View Paper titled, Maximizing Well Construction Strategy for Combined Appraisal and Development in Stacked Reservoirs –A Case Study
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Proceedings Papers

Experiences and Learnings from the Deployment of Cement Packer Technology in Seplat

Muhammad Abdullahi, Ndubuisi Nwokolo, Okechukwu Ogbonnaya, Wealth Onyeanya, Felix Obike, Wale Obisesan, Uchenna Orekyeh, Ipalibo Horsfall, Fabian Okabekwa, Anita Odiete
Paper presented at the SPE Nigeria Annual International Conference and Exhibition, August 5–7, 2024
Paper Number: SPE-221717-MS
https://doi.org/10.2118/221717-MS
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View Paper titled, Experiences and Learnings from the Deployment of Cement Packer Technology in Seplat
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Proceedings Papers

Three-Phase Saturation Evaluation Utilizing Multidetector Pulsed Neutron Logging in Freshwater Environments: A Guide for Sidetrack Drilling Optimization

Y. Kim, P. Akagbosu, C. Ndokwu, I. Adesokan
Paper presented at the SPE Nigeria Annual International Conference and Exhibition, August 5–7, 2024
Paper Number: SPE-221716-MS
https://doi.org/10.2118/221716-MS
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View Paper titled, Three-Phase Saturation Evaluation Utilizing Multidetector Pulsed Neutron Logging in Freshwater Environments: A Guide for Sidetrack Drilling Optimization
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Proceedings Papers

Estimation of Distance Between Interfering Wells Using Python Programming Language

K. E. Etekuwoma, E. S. Adewole
Paper presented at the SPE Nigeria Annual International Conference and Exhibition, August 5–7, 2024
Paper Number: SPE-221686-MS
https://doi.org/10.2118/221686-MS
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View Paper titled, Estimation of Distance Between Interfering Wells Using Python Programming Language
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Proceedings Papers

Pragmatic and Resilient Approach in the Resuscitation of a High Impact Well Post Shut- In for Production Curtailment in the Onshore Niger-Delta– A Case Study of Nkabra-41 Dual Completion Well

E. Adowei, N. Nwamara, J. A. Onyeji, E. Agbongiator, O. Oragwu, C. Chukwuka, O. Adegoke, A. Abe, P. Oyemami
Paper presented at the SPE Nigeria Annual International Conference and Exhibition, August 5–7, 2024
Paper Number: SPE-221796-MS
https://doi.org/10.2118/221796-MS
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View Paper titled, Pragmatic and Resilient Approach in the Resuscitation of a High Impact Well Post Shut- In for Production Curtailment in the Onshore Niger-Delta– A Case Study of Nkabra-41 Dual Completion Well
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Proceedings Papers

Formation Evaluation of Low Resistivity Low Contrast Hydrocarbon Clean Sands Using Well Logs and Saturation Height Function

Chima Cyril Udeze, Maduabuchi Ndubueze, Mohammed Ringim, Obinna S. Ezeaneche
Paper presented at the SPE Nigeria Annual International Conference and Exhibition, August 5–7, 2024
Paper Number: SPE-221788-MS
https://doi.org/10.2118/221788-MS
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View Paper titled, Formation Evaluation of Low Resistivity Low Contrast Hydrocarbon Clean Sands Using Well Logs and Saturation Height Function
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Proceedings Papers

Reservoir Heterogeneity and Boundary Delineation Using Numerical Well test Analysis and Multi-Seismic Attributes in Complex Channel Environment

Sonny Thompson, Oluwafisayo Meshioye, Ebere Benard, Tolulope Amsata-Awani, Fisayo Ipoola
Paper presented at the SPE Nigeria Annual International Conference and Exhibition, August 5–7, 2024
Paper Number: SPE-221782-MS
https://doi.org/10.2118/221782-MS
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View Paper titled, Reservoir Heterogeneity and Boundary Delineation Using Numerical Well test Analysis and Multi-Seismic Attributes in Complex Channel Environment
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Proceedings Papers

Application of Artificial Neural Network to Predict Downhole Conditions of Oil Wells Using Wellhead Data

Okon Edet Ita, Joseph Atubokiki Ajienka, Aniefiok Livinus, Ndubuka Chinedu Ikenna
Paper presented at the SPE Nigeria Annual International Conference and Exhibition, August 5–7, 2024
Paper Number: SPE-221742-MS
https://doi.org/10.2118/221742-MS
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View Paper titled, Application of Artificial Neural Network to Predict Downhole Conditions of Oil Wells Using Wellhead Data
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