... 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...

... 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...

... 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...

... 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...

..., 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...

.... 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...

... 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...

... 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...

... 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...

... 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...

... 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...

... 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...

... 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...

... 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...

... 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...

... 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...

..., 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...

... 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...

... 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...

..., 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...