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Proceedings Papers

Development of a Multi-Controller Tuning Strategy and Rules for Oily Water Treatment Plant

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M. Mohamed, Boiko. Igor.
Paper presented at the SPE Water Lifecycle Management Conference and Exhibition, March 5–7, 2024
Paper Number: SPE-219061-MS
https://doi.org/10.2118/219061-MS
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Proceedings Papers

Application of Simplified Capacitance Resistance Model Approach (CRM) to Optimize Inverted Nine Spot Injection Pattern

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W. M. Wan Khairul Anuar, A. N. Romle, A. B. Kamis, E. Motaei, D. Kamat
Paper presented at the SPE Water Lifecycle Management Conference and Exhibition, March 5–7, 2024
Paper Number: SPE-219060-MS
https://doi.org/10.2118/219060-MS
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View Paper titled, Application of Simplified Capacitance Resistance Model Approach (CRM) to Optimize Inverted Nine Spot Injection Pattern
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Proceedings Papers

Harnessing Data Science for Produced Water Estimation: Unleashing the Power of Data-Driven Techniques

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B. A. Sumarto, B. H. Nugroho, M. A. Joenaedy, B. H. Akbar, H. J. Al-Aradi, P. Achmad
Paper presented at the SPE Water Lifecycle Management Conference and Exhibition, March 5–7, 2024
Paper Number: SPE-219016-MS
https://doi.org/10.2118/219016-MS
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View Paper titled, Harnessing Data Science for Produced Water Estimation: Unleashing the Power of Data-Driven Techniques
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Proceedings Papers

Water Shut-Off Best Practices and Analysis of Effectiveness and Sustainability

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M. A. Alkadem, H. K. Sharma, L. Benedek, Z. A. Albaharna
Paper presented at the SPE Water Lifecycle Management Conference and Exhibition, March 5–7, 2024
Paper Number: SPE-219051-MS
https://doi.org/10.2118/219051-MS
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View Paper titled, Water Shut-Off Best Practices and Analysis of Effectiveness and Sustainability
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Proceedings Papers

Detecting Anomalies in Water Quality Monitoring Using Deep Learning

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Sarafudheen M. Tharayil, Nada K. Alomari, Dana K. Bubshait
Paper presented at the SPE Water Lifecycle Management Conference and Exhibition, March 5–7, 2024
Paper Number: SPE-219049-MS
https://doi.org/10.2118/219049-MS
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View Paper titled, Detecting Anomalies in Water Quality Monitoring Using Deep Learning
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Proceedings Papers

Innovative and Integrated Digital Solution for Water-Handling Management System Using Machine Learning for Production Enhancement in a Brownfield

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Santiago Davalos, Hugo Quevedo, Paul Castellanos, Erick Jacome, Neida Corella, Heidi Tipan, Jorge Yanez, Caren Basantes, Roberto Fuenmayor, Willem Sepulveda
Paper presented at the SPE Water Lifecycle Management Conference and Exhibition, March 5–7, 2024
Paper Number: SPE-219005-MS
https://doi.org/10.2118/219005-MS
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View Paper titled, Innovative and Integrated Digital Solution for Water-Handling Management System Using Machine Learning for Production Enhancement in a Brownfield
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Proceedings Papers

Unlocking Value: Comparative Well Study Shows Energy and Cost Savings via Reduction in Water and Gain in Oil Using Autonomous Inflow Control Valve (AICV) in a Major Brownfield in The Sultanate of Oman

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A. H. Al Lawati, M. Al Harthi, S. Al Riyami, R. Al Kindi, A. Baqer, Y. Al Araimi, I. M. Ismail, A. Fahmy
Paper presented at the SPE Water Lifecycle Management Conference and Exhibition, March 5–7, 2024
Paper Number: SPE-219064-MS
https://doi.org/10.2118/219064-MS
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View Paper titled, Unlocking Value: Comparative Well Study Shows Energy and Cost Savings via Reduction in Water and Gain in Oil Using Autonomous Inflow Control Valve (AICV) in a Major Brownfield in The Sultanate of Oman
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Proceedings Papers

Title Physicochemical Water Control: A Sustainable and Practical Approach to Avoid Deferred Production Related to Chemical Problems and Consumption Management

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B. Hernandez, J. Salazar, S. Castilla, J. Borjas, G. Jimenez
Paper presented at the SPE Water Lifecycle Management Conference and Exhibition, March 5–7, 2024
Paper Number: SPE-219073-MS
https://doi.org/10.2118/219073-MS
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View Paper titled, Title Physicochemical Water Control: A Sustainable and Practical Approach to Avoid Deferred Production Related to Chemical Problems and Consumption Management
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Proceedings Papers

Enhancing Oil Production: A Machine Learning Approach in Efficient Waterflooding

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A. Aslanyan, I. Aslanyan, D. Gulyaev, M. Garnyshev, R. Karantharath
Paper presented at the SPE Water Lifecycle Management Conference and Exhibition, March 5–7, 2024
Paper Number: SPE-219008-MS
https://doi.org/10.2118/219008-MS
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View Paper titled, Enhancing Oil Production: A Machine Learning Approach in Efficient Waterflooding
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Proceedings Papers

Development of a Hydrogen Sulfide (H 2 S) Partitioning Model for Zero Liquid Discharge Projects in Wastewater Treatment

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Q. Saeed, M. Muhammad, S. Saif, A. Akram
Paper presented at the SPE Water Lifecycle Management Conference and Exhibition, March 5–7, 2024
Paper Number: SPE-218965-MS
https://doi.org/10.2118/218965-MS
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View Paper titled, Development of a Hydrogen Sulfide (H 2 S) Partitioning Model for Zero Liquid Discharge Projects in Wastewater Treatment
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