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Keywords: constraint
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Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, March 28–30, 2023
Paper Number: SPE-212188-MS
.... Ensemble Smoother with Multiple Data Assimilation (ESMDA) is utilized to reduce the error at each step of the history matching. Next, a best-matched candidate is selected for numerical optimization to maximize oil production rates with constraints satisfying field conditions. Excellent history-matching...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, March 28–30, 2023
Paper Number: SPE-212228-MS
... efficiency, are considered. Appropriate linear and nonlinear constraints, involving the geometry of the well configuration, injection rates, and injected mass (for pressure management), are specified. Two derivative-free algorithms, particle swarm optimization (PSO) and differential evolution (DE...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, March 28–30, 2023
Paper Number: SPE-212177-MS
... learning upstream oil & gas neural network scenario united states government artificial intelligence geology representation directionality realization parameterization constraint knowledge autoencoder dataset reconstruction accuracy disentanglement calibration disentangled...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, October 26, 2021
Paper Number: SPE-203934-MS
... partial differential equation along with initial and boundary conditions. We test various hypothesis (uniform and non-uniform initial conditions) and show that with the proper implementation of physical constraints, a robust solution can be trained within a reasonable amount of time and iterations. We...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, October 26, 2021
Paper Number: SPE-203954-MS
... sequential quadratic programming (SQP) is used to maximize an objective function under network constraints. In this publication, we present the development of a gradient-based optimisation capability inside a Facility Network Solver (FNS). FNS was developed as a network flow solver to balance pressure...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, October 26, 2021
Paper Number: SPE-203979-MS
... on the fracture Γ f is σ σ ⋅ n f + = − σ ⋅ n f − = P f n f . The force balance of the internal boundary is implemented with contact and stick constraints. Geomechanics Under dynamic conditions, linear, poroelastic momentum conservation is required allowing resolution...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, October 26, 2021
Paper Number: SPE-204004-MS
... et al., 2016 ) as IAM includes the necessary physics to adequately model operational constraints and perform allocations. The subsurface and surface integrated system could be simulated either loosely coupled or full-coupled. In loosely coupled approach, the subsurface and surface are modeled...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, April 10–11, 2019
Paper Number: SPE-193853-MS
... to effectively set all local constraints at various measured depths. This paper describes special constructs called "boundary segments" with a similar set of flow rate and pressure control modes to those available for tubinghead or bottomhole well control. In a multisegment well model whose topology consists...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, April 10–11, 2019
Paper Number: SPE-193835-MS
... the pipe flow (instead of Darcy flow in reservoir). Correspondingly, NVWM also uses the same set of equations as for reservoir solution, and only adds the well-specific pressure drop and constraint equation. The sharing of computations between reservoir solution and NVWM is achieved by formulating each...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, April 10–11, 2019
Paper Number: SPE-193889-MS
... Artificial Intelligence constraint Chung saturation neural network two-phase flow upscaled model downscale function machine learning reservoir simulation reference solution scaling method nonlinear auxiliary basis function oversampled region equation Upstream Oil & Gas...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, April 10–11, 2019
Paper Number: SPE-193920-MS
..., with a large historical (70y) and prediction (200y) time periods, 10s of millions of cells and thousands of wells, many injection and production constraints and drilling targets. Each of these giant fields requires a parallel supercomputer to run each individual model in a reasonable time. To couple many...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, April 10–11, 2019
Paper Number: SPE-193923-MS
... solution executable. This workflow is unique because it allows to (i) interact with stakeholders, e.g., production engineers and operators, to capture engineering and economic requirements and constraints, (ii) interact with software to identify, screen, and maximize the opportunity, (iii) interact...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, April 10–11, 2019
Paper Number: SPE-193929-MS
... of risers, flowlines, manifolds… In such developments, operation constraints are imposed on the production facilities, for example through a fixed pressure the FPSO, and they will act as the main constraint for the overall coupled simulation. Therefore, the modeling workflow then has to manage the flow...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, February 20–22, 2017
Paper Number: SPE-182640-MS
... Abstract In a fully integrated reservoir model consisting of one or more reservoirs and a surface network of complex wells and facilities, determining the active constraints in the network, while ensuring that the network equations are nonsingular, is a challenge. This paper introduces...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, February 20–22, 2017
Paper Number: SPE-182642-MS
... investment trajectory Artificial Intelligence constraint discount rate Upstream Oil & Gas cash flow correspond well control NPV optimization procedure operation optimal solution optimization problem optimal npv optimal control mirr Control step Durlofsky production...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, February 20–22, 2017
Paper Number: SPE-182611-MS
... by Edmunds (1998) and it has been used in simulations with Sink/Source or more advanced wellbore models in commercial codes. In this approach, a hard constraint is solved to guarantee that the bottom-hole temperature is below the water saturation temperature and that the location of the hottest spot along...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, February 20–22, 2017
Paper Number: SPE-182639-MS
.... The computational cost (CPU usage) is reduced by a factor of 10 to 25 when compared to the traditional RML approach. optimization problem constraint RML method machine learning reservoir simulation objective function unconditional realization Artificial Intelligence history matching computational...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, February 20–22, 2017
Paper Number: SPE-182705-MS
... together, the constraints that minimum distance between any two well trajectories is greater than or equal to a prescribed distance are also enforced in this paper. To the best of our knowledge, this paper presents the first illustration of the joint optimization of well placement and control...

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