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Keywords: objective function
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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
... simulator commercial simulator commercial reservoir simulator objective function forward simulation implementation Introduction Abstract Efficient history matching of reservoir simulation models remains a paramount challenge in the oil and gas industry, as it is crucial for improving...
Proceedings Papers
Carbonate Oil Rim Production Strategies Using Cloud-Based Optimization of Electric Interval Control Valves (eICVs) with Continuous Chokes
Available to PurchaseSule Gurses, Emilio Coutinho, Diogo Ferreira Pereira, William Bailey, Henio Alberto, Stephen Dyer, Valery Polyakov
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Conference, March 25–27, 2025
Paper Number: SPE-223842-MS
..., derivative-free optimization utilized to handle simulation-based objective functions required more than 100 independent control variables per trial. Advanced reservoir and well modeling addressed the high viscosity gradient of the fluid, and a robust algorithm was used to traverse the multidimensional...
Proceedings Papers
Everest™: An Open-Source Platform for Decision Making Under Uncertainties
Available to PurchaseR. G. Hanea, R. Oliveira, T. Popa, F. Feldmann, Ø. Eide, S. Sortland, T. L. M. van der Heijden, E. G. D. Barros, S. P. Szklarz, O. Leeuwenburgh, P. J. Verveer, S. de Hoop, S. Bottero, K. M. Hopstaken
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Conference, March 25–27, 2025
Paper Number: SPE-223850-MS
... ) , where J ( u ) is the objective function, i.e. the performance metric quantifying the quality of solutions in terms of the goals of the optimization, and u is the control vector containing the optimization or control variables describing the solutions, i.e. the degrees of freedom that may be varied...
Proceedings Papers
Implementing a Duchon Spline Based on Gauss-Newton Distributed Optimizer for Coupled Flow and Geomechanics
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Conference, March 25–27, 2025
Paper Number: SPE-223866-MS
... Similarly to the previous works mentioned above, we employ a superposition principle and an optimization-based approach to compute a consistent stress field that honors the given measurements and equilibrium. We pose the compatibility problem by minimizing an objective function in the classical...
Proceedings Papers
Hybrid Optimization Framework for Well-Placement Using Gradient-Free Algorithm and Physics-Informed Artificial Intelligence
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Conference, March 25–27, 2025
Paper Number: SPE-223867-MS
... Direct gradient-free methods employ the problem cost function directly as the objective function of the optimizer ( Redouane et al. 2018 ), within which the optimization is carried out by generating a population of individuals that search the space simultaneously without any derivative...
Proceedings Papers
Application of Embed-to-Control Observe Deep-Learning-Based Reservoir Surrogate in CO 2 Storage Monitoring and Multi-Objective Optimization
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Conference, March 25–27, 2025
Paper Number: SPE-223914-MS
... in porous media realization onur machine learning case 10 100 geologist realization 1 well control production optimization neural network optimization spe10 model e2co prediction nonlinear state constraint realization 5 denote nguyen and onur pressure distribution objective function...
Proceedings Papers
Comparative Analysis of Derivative-Free Optimization Algorithms in Geological CO 2 Storage Well Placement Problem with Nonlinear Constraints
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Conference, March 25–27, 2025
Paper Number: SPE-223846-MS
.... A comparative study of different optimization methods is conducted, using the Egg model, to find the optimal objective function value using a reasonable number of function evaluations. Derivative-free optimization algorithms, known for their searching robustness and flexibility, are selected for tackling...
Proceedings Papers
Bayesian Optimization for Field Scale Geological Carbon Sequestration
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Conference, October 26, 2021
Paper Number: SPE-203950-MS
... matrix adaptation evolution strategy (CMA-ES). Results show that IBO achieves competitive objective function value with over 60% less number of forward model evaluations. Furthermore, the Bayesian framework that BO builds upon allows uncertainty quantification and naturally extends to optimization under...
Proceedings Papers
An Efficient Bi-Objective Optimization Workflow Using the Distributed Quasi-Newton Method and Its Application to Field Development Optimization
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Conference, October 26, 2021
Paper Number: SPE-203971-MS
...-thread optimization method that distributes an ensemble of optimization tasks among multiple high-performance-computing nodes, and thus, it can locate multiple optima of the objective function in parallel within a single run. Simulation results computed from one DQN optimization task or thread are shared...
Proceedings Papers
Injection and Production Optimization for Tengiz Platform Sour Gas Injection by Reactive and Proactive Conformance Completions Control
Available to PurchaseShusei Tanaka, Matthieu Rousset, Yousef Ghomian, Aizada Azhigaliyeva, Chingiz Bopiyev, Ilyas Yechshanov, Kaveh Dehghani
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Conference, October 26, 2021
Paper Number: SPE-203995-MS
...) compositional simulation model with advanced Field Management (FM) logic was used to perform the study. Vertical conformance control was implemented in the model enabling completion control of 4 compartments per well. A model-based optimization workflow was defined to maximize recovery. Objective functions...
Proceedings Papers
IOR Pilot Evaluation in a Brown-Field Fractured Reservoir Using Data Analytics of Reservoir Simulation Results
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Conference, April 10–11, 2019
Paper Number: SPE-193848-MS
... it to be useful for engineers designing IOR pilot for brown fields with complex reservoir models. Artificial Intelligence objective function enhanced recovery Upstream Oil & Gas reservoir simulation posterior distribution machine learning history matching Effectiveness uncertainty reduction...
Proceedings Papers
Artificial Neural Network Modeling of Compaction-Dilation Data for Unconventional Oil Reservoirs
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Conference, April 10–11, 2019
Paper Number: SPE-193811-MS
... provides a good match with production data. flow in porous media Artificial Intelligence machine learning Fluid Dynamics modeling training data compaction-dilation data Upstream Oil & Gas interpolation neural network parameter space objective function algorithm society of petroleum...
Proceedings Papers
Closed-Loop Stochastic Oilfield Optimization Under Uncertainty in Geologic Description and Future Development Plans
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Conference, April 10–11, 2019
Paper Number: SPE-193856-MS
... development activities by obtaining optimization solutions that are robust against changes in future decisions, and (2) considerably reduces the performance losses that can result from field development when uncertainty is disregarded. optimization problem objective function asset and portfolio...
Proceedings Papers
History Matching and Optimal Design of Chemically Enhanced Oil Recovery Using Multi-Objective Optimization
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Conference, April 10–11, 2019
Paper Number: SPE-193860-MS
... Index (HMQI) with Moving Linear Regression Analysis to evaluate simulation results from history matching process. The HMQI provides normalized values for all objective functions having different magnitude and leads to a more consistent and robust approach to evaluate the updated models through model...
Proceedings Papers
Design of Warm Solvent Injection Processes for Heterogeneous Heavy Oil Reservoirs: A Hybrid Workflow of Multi-Objective Optimization and Proxy Models
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Conference, April 10–11, 2019
Paper Number: SPE-193842-MS
... the objective functions. The study demonstrates the potential impacts of reservoir heterogeneities on the WSI process. Models with different heterogeneity settings are examined. The results reveal that the impacts of shale barriers may be more/less evident under different circumstances. The proxy models can...
Proceedings Papers
Robust Multi-Objective Field Development Optimization for the Mariner Asset
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Conference, April 10–11, 2019
Paper Number: SPE-193883-MS
... significant increases between 5% and 20% in the expected value of the objective function were achieved. For the multi-objective optimization cases we show that non-trivial optimal strategies are obtained which significantly reduce (40% decrease) gas production with minimal loss (less than 1%) in the economic...
Proceedings Papers
An Interactive Workflow and Data Analytics for Model-Based Production Optimization: A Waterflooding Example
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Conference, April 10–11, 2019
Paper Number: SPE-193923-MS
... by "twiddling the knobs" of software, as humans can be very good at comparing examples but unable to produce an optimal objective function ( Shahriari et al. , 2016 ). Third, an optimization opportunity never comes from nowhere. Understanding of its backing mechanism (e.g., physics) is the key to convince...
Proceedings Papers
A Comprehensive Adaptive Forecasting Framework for Optimum Field Development Planning
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Conference, April 10–11, 2019
Paper Number: SPE-193914-MS
.... Like in history matching, production optimization under uncertainty is an iterative process that considers all history matched ensemble members. The goal in this step is to find a set of inputs that optimize an objective function derived from all ensemble outputs. Those outputs are computed scalar...
Proceedings Papers
Reduced Degrees of Freedom Gaussian Mixture Model Fitting for Large Scale History Matching Problems
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Conference, April 10–11, 2019
Paper Number: SPE-193916-MS
... & Gas error function gaussian component Gao fitting method normalized error function gmm fitting formulation formulation History algorithm uncertain parameter reservoir simulation training data Optimization Method gmm sample objective function gmm fitting method reduced-dof gmm fitting...
Proceedings Papers
Investigation of the Correlation Between the Quality of History Matching and that of Forecasting
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Conference, April 10–11, 2019
Paper Number: SPE-193926-MS
... of the history match and the quality of the forecast. So, the traditional belief that a good history matched model will also produce a good forecast is not always true. Artificial Intelligence Upstream Oil & Gas correlation Modeling & Simulation objective function reservoir simulation case...
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