November 2025 Multi-Segmented Drainage Volume Analysis and Forecasting with Parent-Child Interactions November 2025 A Physics Inspired Data-Driven Model for Candidate Selection and Performance Assessment of Refracturing in Unconventional Wells June 2025 Case Study on Continuous Unconventional Production Surveillance and Optimization Using Automated Hybrid Modeling Approach June 2025 Case Study on Real-Time Pump Health Check for Optimizing ESP Performance and Extending Lifespan in Unconventional Wells June 2025 Well Cycling Optimization in Liquid Loaded Wells February 2025 Case Study On Improving Operational Efficiency In Deepwater Assets Through Physics-informed Data-driven Hybrid Modeling February 2025 Managing Liquid Loading Using A Physics Inspired Data-Driven Method February 2025 Optimizing Mature Gas Fields With Hybrid Models - Case Study And Value Analysis February 2025 Estimating Water-Gas Ratio in Producing Gas Wells Through Multi-Fidelity Data Assimilation By Integrating Wellbore Physics and Data-driven Reservoir Models September 2024 Automated Well and Reservoir Management Using Hybrid Physics and Data-Driven Models - Case Study September 2024 A Hybrid Approach for Production Forecasting and Uncertainty Characterization June 2024 Application of a Sparse Hybrid Data-Driven and Physics Model in Unconventional Reservoirs for Production Forecasting June 2024 Predicting Hydraulic Fracture Injection Pressure Using Hybrid Model for Completions Optimization June 2024 Physics-Informed Machine Learning Approach for Closed-Loop Reservoir Management Using RGNet June 2024 Efficient Asset Optimization with Hybrid Models: Combining Surface Network and Reduced Physics Reservoir Models June 2024 Physics Informed Machine Learning for Reservoir Connectivity Identification and Robust Production Forecasting February 2024 A Data-Driven Journey into Liquid Loading Detection and Prediction February 2024 Continuous Bottomhole Pressure Estimation Using Machine Learning and Physics-Based Methods – A Field Case Study February 2024 Guided Deep Learning Manifold Linearization of Porous Media Flow Equations October 2023 Physics-augmented Data Driven Method To Detect And Quantify The Impact Of Well Interference August 2023 Reservoir Modeling, History Matching and Characterization with A Reservoir Graph Network Model June 2023 Input-Output Invariant Fast Proxy Models for Production Optimization June 2023 Unconventional Well Interference Detection Using Physics Informed Data-Driven Model June 2023 RGNet for Multi-well Forecasting in Unconventional Reservoirs June 2023 Physics Informed Data-driven Models for Discovery of Flow Physics and Forecasts in Unconventional Reservoirs June 2023 Improving Artificial Lift Timing, Selection and Operations Strategy Using a Physics Informed Data-Driven Method May 2023 Improved Hydraulics Modeling Through the Addition of a Transient Cuttings Transport Algorithm May 2023 Distributed Agent Optimization for Large-Scale Network Models May 2023 Discovery Of Unconventional Reservoir Flow Physics for Production Forecasting Through Hybrid Data-driven and Physics Models May 2023 Hybrid Multiphase Rate Forecasting Model in Liquid Wells for Unconventional Reservoirs May 2023 Real Time Artificial Lift Timing and Selection Using Hybrid Data-Driven and Physics Models April 2023 Physics Guided Data Driven Model to Forecast Production Rates In Liquid Wells April 2023 Optimizing Artificial Lift Timing And Selection Using Reduced Physics Models March 2023 Reservoir Connectivity Identification and Robust Production Forecasting Using Physics Informed Machine Learning March 2023 Guided Deep Learning Manifold Linearization of Porous Media Flow Equations June 2022 An Improved Method for GOR Forecasting in Unconventionals June 2022 Modeling Unconventional Reservoirs Using a Graph Network Model June 2022 Using Hybrid Models for Unconventional Production Opportunities and Value Generation–Case Studies April 2022 Data-Driven Discovery of Physics for Reservoir Surveillance April 2022 Efficient Reservoir Management with a Reservoir Graph Network Model February 2022 Application of a Sustainable Cognitive Twin Solution for Drilling Hazard Avoidance and Optimization February 2022 Unlocking Unconventional Production Optimization Opportunities Using Reduced Physics Models for Well Performance Analysis –Case Study November 2021 Hybrid physics and data-driven modeling for unconventional field development and its application to US onshore basin September 2021 A graph network based approach for reservoir modeling July 2021 A Reduced Physics Modeling Approach to Understand Multiphase Well Production Performance for Unconventional Reservoirs July 2021 Merging Physics and Data-Driven Methods for Field-Wide Bottomhole Pressure Estimation in Unconventional Wells January 2021 Novel hybrid fast marching method-based simulation workflow for rapid history matching and completion design optimization of hydraulically fractured shale wells November 2020 A flow network model based on time of flight for reservoir management November 2020 Dynamic Process Optimization Using a Reduced Order Modeling Framework October 2020 A self-learning process modeling method to optimize upstream operations September 2020 An Automated Physics-Based Workflow for Identification and Classification of Drilling Dysfunctions Drives Drilling Efficiency and Transparency for Completion Design July 2020 Hybrid Physics and Data-Driven Modeling for Unconventional Field Development—Onshore US Basin Case Study January 2020 Determination of stimulated reservoir volume SRV during fracturing: A data-driven approach to improve field operations