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Keywords: history matching
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Proceedings Papers
An EDFM-MINC Model for Capturing Near-Fracture Physics in Unconventional Reservoirs
Available to PurchaseZheng Han, Brad Mallison, Haishan Luo, Junjie Yang, Ali Moinfar, Pierre Muron, Ouassim Khebzegga, Matthieu Rousset, Mun-Hong Hui, Alvaro Rey
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Conference, March 25–27, 2025
Paper Number: SPE-223886-MS
... and improving the history matching process. fluid dynamics fracture geology geologist reservoir simulation history matching complex reservoir hydraulic fracturing geological subdiscipline shale gas reservoir interaction accuracy fracture model matrix block transmissibility spe reservoir...
Proceedings Papers
Deep-Learning-Based History Matching Framework Using an Embed-To-Control Observe Reservoir Surrogate
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Conference, March 25–27, 2025
Paper Number: SPE-223904-MS
... Abstract This study introduces an efficient deep learning-based reduced-order modeling (ROM) approach for reservoir history matching (HM) applications. The approach builds on the existing Embed-to-Control and Observe (E2CO) framework, which integrates an autoencoder for projecting state...
Proceedings Papers
Scalable and Efficient Linear Solution Methods for Flow Network Simulation Models
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Conference, March 25–27, 2025
Paper Number: SPE-223918-MS
... geologist asset and portfolio management equation application reservoir simulation enhanced recovery iterative solver network model waterflooding modeling & simulation algorithm jacobian matrix history matching solver matrix solution method simulation mesh sparsity pattern vertex cell...
Proceedings Papers
Embedded Graph Surrogate Model for Fast Full Physics Numerical Simulations
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Conference, March 25–27, 2025
Paper Number: SPE-223926-MS
... completions is an emerging technique to decrease such computational costs. In this work, we present a geologically informed graph that is history-matched within the simulator framework and results in accurate and fast surrogate models. Methods presented in the literature create graphs by connecting wellbores...
Proceedings Papers
Application of Ensemble-Based Forecast Calibration with Data-Space Inversion for Production Optimization
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Conference, March 25–27, 2025
Paper Number: SPE-223878-MS
..., and the impact of considering a different synthetic truth, was analyzed in this study to find the optimum parameters and test the accuracy and robustness of the DSI technique for optimization. geologist optimization problem reservoir simulation enhanced recovery production monitoring history matching...
Proceedings Papers
Streamline-Based Three-Phase History Matching for Field-Scale Compositional Modeling Under CO2 Enhanced-Oil-Recovery in the Permian Basin, Texas
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Conference, March 25–27, 2025
Paper Number: SPE-223883-MS
.... This approach enhances the inversion process, as GTTI performs best with continuous and monotonic production histories. history matching geologist datta-gupta chemical flooding methods history permeability field co2 flooding period reservoir simulation artificial intelligence evolutionary...
Proceedings Papers
Combining Adjoint Gradient with Commercial Reservoir Simulator for Efficient History Matching
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Conference, March 25–27, 2025
Paper Number: SPE-223837-MS
... Abstract Efficient history matching of reservoir simulation models remains a paramount challenge in the oil and gas industry, as it is crucial for improving predictive capabilities and optimizing reservoir management strategies. Traditional approaches often require computationally expensive...
Proceedings Papers
Incremental Machine Learning for Near-Well Prediction: A Non-Linear Preconditioning Approach to Faster History Matching
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Conference, March 25–27, 2025
Paper Number: SPE-223843-MS
... history matching geologist reservoir simulation iteration ensemble iteration neural network deep learning machine learning geology artificial intelligence newton iteration prediction transformation solver hybrid newton timestep reduction convergence non-linear solver ensemble...
Proceedings Papers
Practical Improvements to Ensemble History Matching Methods to Avoid Collapse and Reduce Spurious Update in Under-Parameterized System
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Conference, March 25–27, 2025
Paper Number: SPE-223848-MS
... Abstract Ensemble-based methods such as ensemble smoother with multiple data assimilation (ESMDA) have been widely used for subsurface history matching of spatial parameters (e.g., the permeability field). However, when the subsurface system is only parameterized with a dozen parameters...
Proceedings Papers
An Improved Physics-Based Data-Driven Oil-Water Interwell Simulator With Reduced Material Balance Errors
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Conference, March 25–27, 2025
Paper Number: SPE-223855-MS
... i k , j 0 by history matching. This summarizes the main methodology of all INSIM-based models. Pressure Equation In INSIM-2P, under the IMPES formulation, we neglect the capillarity effects. Then, the governing pressure equation for the k th perforated segment of well i...
Proceedings Papers
Enhanced Uncertainty Quantification of Reservoir Simulation Models Through Synergistic Integration of Particle Swarm Optimisation with the Ensemble Kalman Smoother
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Conference, March 25–27, 2025
Paper Number: SPE-223832-MS
... Smoother (EnKS) versus proxy modelling in reservoir simulation and in which context they should be used. Their performance on a benchmark reservoir simulation model (PUNQ-S3 model) is compared, and then a hybridised approach is taken to capitalise on their strengths to improve the final history matches...
Proceedings Papers
Combining Data-Driven Modeling and Physics-Based Simulation for Unconventional Production Forecasting
Available to PurchaseSebastien Matringe, Amir Kianinejad, Miguel Jakymec, Carlos Miranda, Christian Gronister, Taylor Goy
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Conference, March 25–27, 2025
Paper Number: SPE-223835-MS
... forecasting at scale. At its core is a simplified reservoir simulation model designed to represent a single unconventional well, which is calibrated to historical production data using automated history-matching for producing wells. For new wells that lack production history, a data-driven model generation...
Proceedings Papers
Fast History Matching with a Fully Customized Physics-Based Data-Driven Flow Network Model GPSNet: Application to a Giant Deep-Water Gas Field with Multiple Sands
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Conference, March 25–27, 2025
Paper Number: SPE-223887-MS
... Abstract History matching using high-fidelity reservoir models can be computationally expensive. Previously, we implemented a novel physics-based data-driven surrogate model (GPSNet) and applied it to rapid history matching in waterflood, steamflood, gas depletion, and unconventional fields...
Proceedings Papers
On the Formulation of the Ensemble History-Matching Problem
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Conference, March 28–30, 2023
Paper Number: SPE-212232-MS
... Abstract This paper revisits the formulation of the history-matching problem solved using state-of-the-art ensemble methods. It shows how the standard problem formulation is flawed and ignores crucial components, including a stochastic forcing of the ensemble realizations to account for errors...
Proceedings Papers
Efficient Adaptation and Calibration of Ad joint-Based Reduced-Order Coarse-Grid Network Models
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Conference, March 28–30, 2023
Paper Number: SPE-212207-MS
... tolerance partition simulation jacobian producer granularity topology algorithm united states government cgnet mismatch graph iteration history matching spe reservoir simulation conference transmissibility npv Introduction Production optimization and other problems from field...
Proceedings Papers
Efficient Inverse Modeling Framework for Energy Transition Applications Using Operator-Based Linearization and Adjoint Gradients
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Conference, March 28–30, 2023
Paper Number: SPE-212169-MS
... simulations. This framework allows conducting the history matching of practical industrial applications using the gradient descent method with considerable model control variables in a reasonable time. Generally, the inverse modeling of industrial applications involves large amounts of gradient calculations...
Proceedings Papers
Nonlinearly Constrained Life-Cycle Production Optimization Using Sequential Quadratic Programming (SQP) With Stochastic Simplex Approximated Gradients (StoSAG)
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Conference, March 28–30, 2023
Paper Number: SPE-212178-MS
..., but at the cost of possible constraint violation for some individual geological realizations. united states government asset and portfolio management production monitoring waterflooding artificial intelligence production control history matching optimization problem enhanced recovery upstream oil...
Proceedings Papers
Implementation of Adaptive Localization for Enhancing Ensemble-Based History Matching in Hydrocarbon Reservoir Management
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Conference, March 28–30, 2023
Paper Number: SPE-212184-MS
... Abstract In reservoir management, the ensemble-based history matching is applied to quantify and update uncertainty in reservoir characterization with the main objective to support high quality decisions. However, the ensemble-based history matching could suffer from statistical problems...
Proceedings Papers
Data-Space Inversion for Rapid Physics-Informed Direct Forecasting in Unconventional Reservoirs
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Conference, March 28–30, 2023
Paper Number: SPE-212230-MS
... Abstract Traditionally, subsurface models are created based on reservoir characterization, then simulated and calibrated via history matching (HM) to honor data, generate forecasts, and quantify uncertainties. However, this approach is time consuming for unconventional projects with aggressive...
Proceedings Papers
A Fast History Matching and Optimization Tool and its Application to a Full Field with More than 1,000 Wells
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Conference, March 28–30, 2023
Paper Number: SPE-212188-MS
..., GPSNet, and used it for rapid history matching and optimization. GPSNet includes physics, such as mass conservation, multiphase flow, phase changes, etc., while maintaining a good level of efficiency. To build such a model, a cluster of 1-D connections among well completion points are constructed...
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