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Keywords: evolutionary algorithm
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Proceedings Papers

Paper presented at the SPE Europec, December 1–3, 2020
Paper Number: SPE-200568-MS
... problem Upstream Oil & Gas geological uncertainty geological realization realization polymer flooding reservoir model optimisation proxy model evolutionary algorithm reservoir simulation stochastic history polymer concentration flood society of petroleum engineers enhanced recovery...
Proceedings Papers

Paper presented at the SPE Europec, December 1–3, 2020
Paper Number: SPE-200581-MS
... framework Durlofsky completion monitoring systems/intelligent wells ensemble Control Optimization waterflooding field development optimization and planning reservoir simulation evolutionary algorithm asset and portfolio management control scenario well placement optimization Well location...
Proceedings Papers

Paper presented at the SPE Europec featured at 81st EAGE Conference and Exhibition, June 3–6, 2019
Paper Number: SPE-195489-MS
... problem evolutionary algorithm Upstream Oil & Gas Reservoir Characterization seismic data average method History Match p-impedance change reservoir simulator sandstone shear modulus rock parameter small data solution workflow bulk modulus p-impedance difference nested optimization...
Proceedings Papers

Paper presented at the SPE Europec featured at 81st EAGE Conference and Exhibition, June 3–6, 2019
Paper Number: SPE-195491-MS
... techniques. machine learning optimization problem Reservoir Characterization Artificial Intelligence Siltstone equation 4 small data determination dry rock bulk modulus realization seismic inversion rock property rock type evolutionary algorithm Upstream Oil & Gas penalty term...
Proceedings Papers

Paper presented at the SPE Europec featured at 81st EAGE Conference and Exhibition, June 3–6, 2019
Paper Number: SPE-195542-MS
... data matching is achieved while honouring saturation information obtained from 4D seismic surveys. machine learning optimization problem well history matching information similarity Artificial Intelligence Upstream Oil & Gas production history matching workflow evolutionary algorithm...
Proceedings Papers

Paper presented at the SPE Europec featured at 81st EAGE Conference and Exhibition, June 3–6, 2019
Paper Number: SPE-195465-MS
... evolutionary algorithm reservoir simulation simulation model simulation run probability distribution experimental design Scenario RSM model Large sums of capital investment are often required in new projects to extend production and the economics’ field life. Subsurface uncertainties have a...
Proceedings Papers

Paper presented at the SPE Europec featured at 80th EAGE Conference and Exhibition, June 11–14, 2018
Paper Number: SPE-190776-MS
... optimal parameter search space, and at the same time does not compromise the effectiveness of the misfit minimisation which leads to better predictive capabilities. evolutionary algorithm machine learning Upstream Oil & Gas gradzone optimisation method hybrid algorithm parameter search...
Proceedings Papers

Paper presented at the SPE Europec featured at 79th EAGE Conference and Exhibition, June 12–15, 2017
Paper Number: SPE-185837-MS
... important. Artificial Intelligence evolutionary algorithm history matching objective function uncertainty reduction reservoir scenario machine learning reservoir simulation water rate gas rate historical data Upstream Oil & Gas simulation model production data oil rate flow in...
Proceedings Papers

Paper presented at the SPE Europec featured at 79th EAGE Conference and Exhibition, June 12–15, 2017
Paper Number: SPE-185822-MS
... define uncertainty with a larger number of realisations. Reservoir Characterization coefficent simulation model evolutionary algorithm Upstream Oil & Gas proxy machine learning optimization problem MacBeth Artificial Intelligence History optimal solution equation initial simulation...
Proceedings Papers

Paper presented at the SPE Europec featured at 78th EAGE Conference and Exhibition, May 30–June 2, 2016
Paper Number: SPE-180122-MS
... model. Contrary the modeler is provided with the required information where and how to improve the geological model. reservoir simulation Artificial Intelligence machine learning evolutionary algorithm Upstream Oil & Gas single simulation run pressure history target pressure History...
Proceedings Papers

Paper presented at the EUROPEC 2015, June 1–4, 2015
Paper Number: SPE-174310-MS
... end points of the relative permeability curves (critical saturation points). An initial ensemble of fluid flow simulation models is created where the full range of uncertain parameters are acknowledged using experimental design methods, and an evolutionary algorithm is used for optimization in the...
Proceedings Papers

Paper presented at the EUROPEC 2015, June 1–4, 2015
Paper Number: SPE-174359-MS
... able to deal with complex cases, especially those involving several wells and uncertainties with non-linear interaction among them. The developments provide robustness to the application, resulting in a more reliable production forecast and management of the field. evolutionary algorithm...
Proceedings Papers

Paper presented at the EUROPEC 2015, June 1–4, 2015
Paper Number: SPE-174360-MS
... between the median and the maximum. This zoning is further divided into two zones around the median for each zone created, possibly after reaching an optimal at the first stage. Evolutionary Algorithms imitate biological evolution by creating new individuals (matched reservoir models), which...
Proceedings Papers

Paper presented at the EAGE Annual Conference & Exhibition incorporating SPE Europec, June 10–13, 2013
Paper Number: SPE-164824-MS
... nowadays are advanced in hardware and software so that can make expensive and extensive computations possible in relatively short amount of resources. Evolutionary algorithms (EAs) are a class of optimisation algorithms inspired by biological evolution, which have a prominent advantage over other types...
Proceedings Papers

Paper presented at the EAGE Annual Conference & Exhibition incorporating SPE Europec, June 10–13, 2013
Paper Number: SPE-164838-MS
..., this leads to more uncertainty in reservoir production forecast. The identification of DFN upscaling errors is therefore crucial for better uncertainty quantification in reservoir simulation of NFR. scaling method history matching DFN evolutionary algorithm reservoir simulation fracture...
Proceedings Papers

Paper presented at the EAGE Annual Conference & Exhibition incorporating SPE Europec, June 10–13, 2013
Paper Number: SPE-164852-MS
... via history matching is necessary for maximising the forecast capability of a simulation model. This significantly improves decision making by reducing risks and uncertainties in a field development. evolutionary algorithm impedance coloured inversion History parameter estimate seismic...
Proceedings Papers

Paper presented at the EAGE Annual Conference & Exhibition incorporating SPE Europec, June 10–13, 2013
Paper Number: SPE-164817-MS
... large-scale heterogeneity in a simple model than in a detailed model. The simple model calibration with PSO and the forecast of Bayesian inference have been successfully applied to a real field data. evolutionary algorithm Bayesian Inference machine learning reservoir simulation swarm...
Proceedings Papers

Paper presented at the EAGE Annual Conference & Exhibition incorporating SPE Europec, June 10–13, 2013
Paper Number: SPE-164861-MS
... history matching problems. In the designed algorithm, different models intelligently and stochastically are merged based on their corresponding fitness values to produce a fitting model. It is a repetitive approach until stopping criteria are met. Hence, it performs similar to evolutionary algorithms...
Proceedings Papers

Paper presented at the EAGE Annual Conference & Exhibition incorporating SPE Europec, June 10–13, 2013
Paper Number: SPE-164903-MS
... fraction uncertainty quantification reservoir model evolutionary algorithm Upstream Oil & Gas concentration prediction water cut wax remediation oilfield chemistry remediation of hydrates hydrate remediation hydrate inhibition scale inhibition scale remediation production chemistry...
Proceedings Papers

Paper presented at the SPE Europec/EAGE Annual Conference, June 4–7, 2012
Paper Number: SPE-154347-MS
.... It is an automated closed loop system, and optimization is performed using an in-house computer-assisted history matching tool using evolutionary algorithm. In summary, the Ekofisk 4D SHM workflow is a multi-disciplinary process that requires collaboration between geological, geomechanical...

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