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Proceedings Papers

AI Driven Carbon Storage Well Connectivity - A Kemper CO2 Storage Analysis

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Klemens Katterbauer, Abdulaziz Qasim, Abdallah Al Shehri, Ali Yousef
Paper presented at the Offshore Technology Conference Asia, February 27–March 1, 2024
Paper Number: OTC-34670-MS
https://doi.org/10.4043/34670-MS
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View Paper titled, AI Driven Carbon Storage Well Connectivity - A Kemper CO2 Storage Analysis
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Proceedings Papers

Predicting the Microbial Effects on Hydrogen Storage Quality - A McKee Reservoir Study

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Klemens Katterbauer, Abdulaziz Qasim, Abdallah Al Shehri, Ali Yousef
Paper presented at the Offshore Technology Conference Asia, February 27–March 1, 2024
Paper Number: OTC-34733-MS
https://doi.org/10.4043/34733-MS
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View Paper titled, Predicting the Microbial Effects on Hydrogen Storage Quality - A McKee Reservoir Study
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Proceedings Papers

A Deep-Learning Framework for the Optimization of CO2 Plume Geothermal Power Production - A Pathway to Carbon Net-Zero

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Klemens Katterbauer, Qasim Abdulaziz, Abdallah Al Shehri, Yousef Ali
Paper presented at the Offshore Technology Conference Asia, February 27–March 1, 2024
Paper Number: OTC-34917-MS
https://doi.org/10.4043/34917-MS
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View Paper titled, A Deep-Learning Framework for the Optimization of CO2 Plume Geothermal Power Production - A Pathway to Carbon Net-Zero
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Proceedings Papers

A Deep Learning Framework for Thermal Enhanced Oil Recovery Optimization of Hydrogen from H2S – A Maari Reservoir Study

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Klemens Katterbauer, Abdulaziz Qasim, Abdallah Al Shehri, Ali Yousef
Paper presented at the SPE International Conference and Exhibition on Formation Damage Control, February 21–23, 2024
Paper Number: SPE-217886-MS
https://doi.org/10.2118/217886-MS
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View Paper titled, A Deep Learning Framework for Thermal Enhanced Oil Recovery Optimization of Hydrogen from H2S – A Maari Reservoir Study
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Proceedings Papers

Hydrogen Storage Volume Assessment and Uncertainty Quantification Utilizing Random Forest Ensemble Learning

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Klemens Katterbauer, Abdallah Al Shehri, Abdulaziz Qasim, Ali Yousef
Paper presented at the SPE Annual Technical Conference and Exhibition, October 16–18, 2023
Paper Number: SPE-215102-MS
https://doi.org/10.2118/215102-MS
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View Paper titled, Hydrogen Storage Volume Assessment and Uncertainty Quantification Utilizing Random Forest Ensemble Learning
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Proceedings Papers

Optimizing the Carbon Footprint of Polymer Injection Utilizing a Deep Learning Log Interpretation Framework

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Klemens Katterbauer, Abdallah Al Shehri, Saleh Hassan, Ali Yousef
Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 10–12, 2023
Paper Number: SPE-215274-MS
https://doi.org/10.2118/215274-MS
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View Paper titled, Optimizing the Carbon Footprint of Polymer Injection Utilizing a Deep Learning Log Interpretation Framework
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Proceedings Papers

AI-Optimization of Lithium Recovery from Reservoir Operations - An Adapted Volve Field Study

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Klemens Katterbauer, Abdallah Al Shehri, Abdulaziz Al Qasim, Ali Yousef
Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 10–12, 2023
Paper Number: SPE-215415-MS
https://doi.org/10.2118/215415-MS
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View Paper titled, AI-Optimization of Lithium Recovery from Reservoir Operations - An Adapted Volve Field Study
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Proceedings Papers

Estimating Dynamical Mineral Dissolution for Co2 Injection Into Saline Aquifers Utilizing Deep Learning in the Ahuroa Saline Aquifer

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Klemens Katterbauer, Abdallah Al Shehri, Abdulaziz Qasim, Ali Yousef
Paper presented at the SPE Offshore Europe Conference & Exhibition, September 5–8, 2023
Paper Number: SPE-215556-MS
https://doi.org/10.2118/215556-MS
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View Paper titled, Estimating Dynamical Mineral Dissolution for Co2 Injection Into Saline Aquifers Utilizing Deep Learning in the Ahuroa Saline Aquifer
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Proceedings Papers

A Data-Driven Deep Learning Framework for Microbial Reaction Prediction for Hydrogen Underground Storage

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Klemens Katterbauer, Abdallah Al Shehri, Abdulaziz Qasim, Ali Yousif
Paper presented at the SPE Reservoir Simulation Conference, March 28–30, 2023
Paper Number: SPE-212187-MS
https://doi.org/10.2118/212187-MS
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View Paper titled, A Data-Driven Deep Learning Framework for Microbial Reaction Prediction for Hydrogen Underground Storage
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Proceedings Papers

Sparse Water Fracture Channel Detection from Subsurface Sensors via a Smart Orthogonal Matching Pursuit

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Abdallah Al Shehri, Klemens Katterbauer
Paper presented at the Gas & Oil Technology Showcase and Conference, March 13–15, 2023
Paper Number: SPE-213991-MS
https://doi.org/10.2118/213991-MS
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View Paper titled, Sparse Water Fracture Channel Detection from Subsurface Sensors via a Smart Orthogonal Matching Pursuit
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Proceedings Papers

A Novel Well Log Data Quality Prescriptive Framework for Enhancing Well Log Data Quality Interpretation

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Klemens Katterbauer, Abdallah Al Shehri
Paper presented at the Middle East Oil, Gas and Geosciences Show, February 19–21, 2023
Paper Number: SPE-213224-MS
https://doi.org/10.2118/213224-MS
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View Paper titled, A Novel Well Log Data Quality Prescriptive Framework for Enhancing Well Log Data Quality Interpretation
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Proceedings Papers

A Quantum Gravity AI Framework for CO2 Storage Monitoring and Optimization

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Klemens Katterbauer, Abdallah Al Shehri, Abdulaziz Al Qasim
Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-210841-MS
https://doi.org/10.2118/210841-MS
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View Paper titled, A Quantum Gravity AI Framework for CO2 Storage Monitoring and Optimization
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Proceedings Papers

Smart MIMO-OFDM Wireless Communication Frameworks for Subsurface Wireless Sensor

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Klemens Katterbauer, Abdallah Al Shehri
Paper presented at the SPE Asia Pacific Oil & Gas Conference and Exhibition, October 17–19, 2022
Paper Number: SPE-210750-MS
https://doi.org/10.2118/210750-MS
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View Paper titled, Smart MIMO-OFDM Wireless Communication Frameworks for Subsurface Wireless Sensor
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Proceedings Papers

A Deep Learning Formation Image Log Classification Framework for Fracture Identification – A Study on Carbon Dioxide Injection Performance for the New Zealand Pohokura Field

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Klemens Katterbauer, Abdulaziz Qasim, Abdallah Al Shehri, Rabeah Al Zaidy
Paper presented at the SPE Annual Technical Conference and Exhibition, October 3–5, 2022
Paper Number: SPE-210428-MS
https://doi.org/10.2118/210428-MS
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View Paper titled, A Deep Learning Formation Image Log Classification Framework for Fracture Identification – A Study on Carbon Dioxide Injection Performance for the New Zealand Pohokura Field
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Proceedings Papers

A Deep Learning Optimization Framework for Geothermal Energy Production Based on Carbon Dioxide

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Klemens Katterbauer, Abdulaziz Qasim, Abdallah Al Shehri, Abdulkareem Al Sofi
Paper presented at the SPE Annual Technical Conference and Exhibition, October 3–5, 2022
Paper Number: SPE-210295-MS
https://doi.org/10.2118/210295-MS
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View Paper titled, A Deep Learning Optimization Framework for Geothermal Energy Production Based on Carbon Dioxide
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Proceedings Papers

A Novel Artificial Intelligence Framework for the Optimal Control of Wireless Temperature Sensors for Optimizing Oxygen Injection in Subsurface Reservoirs

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Klemens Katterbauer, Abdulaziz Al Qasim, Abdallah Al Shehri, Ali Yousif
Paper presented at the Offshore Technology Conference Asia, March 22–25, 2022
Paper Number: OTC-31558-MS
https://doi.org/10.4043/31558-MS
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View Paper titled, A Novel Artificial Intelligence Framework for the Optimal Control of Wireless Temperature Sensors for Optimizing Oxygen Injection in Subsurface Reservoirs
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Proceedings Papers

A Novel Deep Reinforcement Sensor Placement Method for Waterfront Tracking

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Klemens Katterbauer, Abdallah Al Shehri, Alberto Marsala
Paper presented at the SPE Middle East Oil & Gas Show and Conference, November 28–December 1, 2021
Paper Number: SPE-204851-MS
https://doi.org/10.2118/204851-MS
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View Paper titled, A Novel Deep Reinforcement Sensor Placement Method for Waterfront Tracking
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Proceedings Papers

Sparse Water Fracture Channel Detection from Subsurface Sensors Via a Smart Orthogonal Matching Pursuit

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Klemens Katterbauer, Abdallah Al Shehri, Alberto Marsala
Paper presented at the SPE Middle East Oil & Gas Show and Conference, November 28–December 1, 2021
Paper Number: SPE-204529-MS
https://doi.org/10.2118/204529-MS
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View Paper titled, Sparse Water Fracture Channel Detection from Subsurface Sensors Via a Smart Orthogonal Matching Pursuit
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Proceedings Papers

Fractures and Flow Patterns Detection in Carbonate Reservoirs Using Intelligent Sensor Selection in a Deep Learning and Uncertainty Framework

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Klemens Katterbauer, Alberto Marsala, Abdallah Al Shehri, Ali Yousif
Paper presented at the SPE Middle East Oil & Gas Show and Conference, November 28–December 1, 2021
Paper Number: SPE-204767-MS
https://doi.org/10.2118/204767-MS
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View Paper titled, Fractures and Flow Patterns Detection in Carbonate Reservoirs Using Intelligent Sensor Selection in a Deep Learning and Uncertainty Framework
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