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Roland Horne
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Journal Articles

A Data-Driven Approach for Stylolite Detection

Jingru Cheng, Bohao He, Roland Horne
Journal: SPE Journal
Publisher: Society of Petroleum Engineers (SPE)
SPE J. (2024)
Paper Number: SPE-214831-PA
https://doi.org/10.2118/214831-PA
Published: 02 December 2024
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Proceedings Papers

Probabilistic Well Production Forecasting in Volve Field Using Temporal Fusion Transformer Deep Learning Models

Zainab Al-Ali Hussain Al-Ali, Roland Horne
Paper presented at the Gas & Oil Technology Showcase and Conference, March 13–15, 2023
Paper Number: SPE-214133-MS
https://doi.org/10.2118/214133-MS
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View Paper titled, Probabilistic Well Production Forecasting in Volve Field Using Temporal Fusion Transformer Deep Learning Models
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Proceedings Papers

Meta Learning Using Deep N-BEATS Model for Production Forecasting with Limited History

Zainab Al-Ali Hussain Al-Ali, Roland Horne
Paper presented at the Gas & Oil Technology Showcase and Conference, March 13–15, 2023
Paper Number: SPE-214214-MS
https://doi.org/10.2118/214214-MS
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View Paper titled, Meta Learning Using Deep N-BEATS Model for Production Forecasting with Limited History
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Journal Articles

Simulating Oil and Water Production in Reservoirs with Generative Deep Learning

Abdullah Alakeely, Roland Horne
Journal: SPE Reservoir Evaluation & Engineering
Publisher: Society of Petroleum Engineers (SPE)
SPE Res Eval & Eng 25 (04): 751–773.
Paper Number: SPE-206126-PA
https://doi.org/10.2118/206126-PA
Published: 16 November 2022
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View article titled, Simulating Oil and Water Production in Reservoirs with Generative Deep Learning
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Journal Articles

Scale Buildup Detection and Characterization in Production Wells by Deep Learning Methods

Jingru Cheng, Deming Mao, Majid Salamah, Roland Horne
Journal: SPE Production & Operations
Publisher: Society of Petroleum Engineers (SPE)
SPE Prod & Oper 37 (04): 616–631.
Paper Number: SPE-205988-PA
https://doi.org/10.2118/205988-PA
Published: 16 November 2022
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View article titled, Scale Buildup Detection and Characterization in Production Wells by Deep Learning Methods
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Proceedings Papers

Analysis of Tidal Behavior of a Horizontal Well to Determine Reservoir Properties

Xunfeng Lu, Kozo Sato, Roland Horne
Paper presented at the SPE Annual Technical Conference and Exhibition, October 3–5, 2022
Paper Number: SPE-210166-MS
https://doi.org/10.2118/210166-MS
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View Paper titled, Analysis of Tidal Behavior of a Horizontal Well to Determine Reservoir Properties
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Proceedings Papers

Reconstruction of Missing Segments in Well Data History Using Data Analytics

Yuanjun Li, Roland Horne, Ahmed Al Shmakhy, Tania Felix Menchaca
Paper presented at the Abu Dhabi International Petroleum Exhibition & Conference, November 15–18, 2021
Paper Number: SPE-208137-MS
https://doi.org/10.2118/208137-MS
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View Paper titled, Reconstruction of Missing Segments in Well Data History Using Data Analytics
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Proceedings Papers

Well Connectivity Analysis with Deep Learning

Yuanjun Li, Satomi Suzuki, Roland Horne
Paper presented at the SPE Annual Technical Conference and Exhibition, September 21–23, 2021
Paper Number: SPE-205871-MS
https://doi.org/10.2118/205871-MS
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View Paper titled, Well Connectivity Analysis with Deep Learning
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Proceedings Papers

Scale Buildup Detection and Characterization in Production Wells by Deep Learning Methods

Jingru Cheng, Deming Mao, Majid Salamah, Roland Horne
Paper presented at the SPE Annual Technical Conference and Exhibition, September 21–23, 2021
Paper Number: SPE-205988-MS
https://doi.org/10.2118/205988-MS
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View Paper titled, Scale Buildup Detection and Characterization in Production Wells by Deep Learning Methods
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Proceedings Papers

Well Interference Detection from Long-Term Pressure Data Using Machine Learning and Multiresolution Analysis

Dante Orta Aleman, Roland Horne
Paper presented at the SPE Annual Technical Conference and Exhibition, September 21–23, 2021
Paper Number: SPE-206354-MS
https://doi.org/10.2118/206354-MS
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View Paper titled, Well Interference Detection from Long-Term Pressure Data Using Machine Learning and Multiresolution Analysis
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Journal Articles

Surrogate-Based Prediction and Optimization of Multilateral Inflow Control Valve Flow Performance with Production Data

Mohammad Jawad Aljubran, Roland Horne
Journal: SPE Production & Operations
Publisher: Society of Petroleum Engineers (SPE)
SPE Prod & Oper 36 (01): 224–233.
Paper Number: SPE-200884-PA
https://doi.org/10.2118/200884-PA
Published: 10 February 2021
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View article titled, Surrogate-Based Prediction and Optimization of Multilateral Inflow Control Valve Flow Performance with Production Data
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Proceedings Papers

Revisiting Machine Learning Approaches For Pressure Data Deconvolution

Kongphop Wongpattananukul, Roland Horne
Paper presented at the SPE Annual Technical Conference and Exhibition, October 26–29, 2020
Paper Number: SPE-201335-MS
https://doi.org/10.2118/201335-MS
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View Paper titled, Revisiting Machine Learning Approaches For Pressure Data Deconvolution
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Proceedings Papers

Improved Robustness In Long-term Pressure Data Analysis Using Wavelets and Deep Learning

Dante Orta Alemán, Roland Horne
Paper presented at the SPE Annual Technical Conference and Exhibition, October 26–29, 2020
Paper Number: SPE-201597-MS
https://doi.org/10.2118/201597-MS
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View Paper titled, Improved Robustness In Long-term Pressure Data Analysis Using Wavelets and Deep Learning
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Journal Articles

Prediction of Multilateral Inflow Control Valve Flow Performance Using Machine Learning

Mohammad (Jabs) (Jabs) Aljubran, Roland Horne
Journal: SPE Production & Operations
Publisher: Society of Petroleum Engineers (SPE)
SPE Prod & Oper 35 (03): 691–702.
Paper Number: SPE-196003-PA
https://doi.org/10.2118/196003-PA
Published: 13 August 2020
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View article titled, Prediction of Multilateral Inflow Control Valve Flow Performance Using Machine Learning
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Proceedings Papers

Analyzing Fractures Using Time-Lapse Electric Potential Data

Jason Hu, Roland Horne
Paper presented at the SPE Annual Technical Conference and Exhibition, September 30–October 2, 2019
Paper Number: SPE-196144-MS
https://doi.org/10.2118/196144-MS
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View Paper titled, Analyzing Fractures Using Time-Lapse Electric Potential Data
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Proceedings Papers

Deep Learning for Well Data History Analysis

Yuanjun Li, Ruixiao Sun, Roland Horne
Paper presented at the SPE Annual Technical Conference and Exhibition, September 30–October 2, 2019
Paper Number: SPE-196011-MS
https://doi.org/10.2118/196011-MS
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View Paper titled, Deep Learning for Well Data History Analysis
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Proceedings Papers

Prediction of Multilateral Inflow Control Valve Flow Performance Using Machine Learning

Mohammad Jabs Aljubran, Roland Horne
Paper presented at the SPE Annual Technical Conference and Exhibition, September 30–October 2, 2019
Paper Number: SPE-196003-MS
https://doi.org/10.2118/196003-MS
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View Paper titled, Prediction of Multilateral Inflow Control Valve Flow Performance Using Machine Learning
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Proceedings Papers

A Mechanism Study of Wettability and Interfacial Tension for EOR Using Silica Nanoparticles

Renfeng Jiang, Kewen Li, Roland Horne
Paper presented at the SPE Annual Technical Conference and Exhibition, October 9–11, 2017
Paper Number: SPE-187096-MS
https://doi.org/10.2118/187096-MS
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View Paper titled, A Mechanism Study of Wettability and Interfacial Tension for EOR Using Silica Nanoparticles
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Proceedings Papers

Cointerpretation of Distributed Acoustic and Temperature Sensing for Improved Smart Well Inflow Profiling

Ahmed Bukhamsin, Roland Horne
Paper presented at the SPE Western Regional Meeting, May 23–26, 2016
Paper Number: SPE-180465-MS
https://doi.org/10.2118/180465-MS
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View Paper titled, Cointerpretation of Distributed Acoustic and Temperature Sensing for Improved Smart Well Inflow Profiling
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Proceedings Papers

Using Distributed Acoustic Sensors to Optimize Production in Intelligent Wells

Ahmed Bukhamsin, Roland Horne
Paper presented at the SPE Annual Technical Conference and Exhibition, October 27–29, 2014
Paper Number: SPE-170679-MS
https://doi.org/10.2118/170679-MS
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View Paper titled, Using Distributed Acoustic Sensors to Optimize Production in Intelligent Wells
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