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Keywords: information
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Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, October 26, 2021
Paper Number: SPE-203932-MS
... systems. enhanced recovery reservoir characterization subsurface storage reservoir simulation climate change scientific computing information representation petroleum engineer library coupling lawrence livermore national laboratory modeling & simulation structural geology co 2...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, April 10–11, 2019
Paper Number: SPE-193812-MS
... experiment porous media optimization problem Hajibeygi goal tolerance total number reservoir simulation information adjoint model Indicator society of petroleum engineers Lagrange multiplier equation scaling method Upstream Oil & Gas sensitivity pressure error norm i-msfv method...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, April 10–11, 2019
Paper Number: SPE-193844-MS
... the subsurface structure, and by doing so, we avoid non-physical models. Our structure constraint is borrowed from seismic impedance. Seismic impedance is one of the end products of seismic data processing. As the seismic impedance can densely sample the subsurface structure, the information provided is vital...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, April 10–11, 2019
Paper Number: SPE-193808-MS
.... Then a forward EM simulator needs to be implemented to model EM responses to conductivity changes by solving Maxwell’s equations ( Stratton, 2007 ). The information contained in different observations is finally assimilated to update the prior ensemble of model parameters through the innovations (i.e...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, April 10–11, 2019
Paper Number: SPE-193834-MS
... not provide consistent patterns with the incorporated probability map. This is partly explained by the Markov property that only considers probabilities that are co-located with the simulation node, and hence ignoring spatial information from neighboring cells. In addition to this effect, we show another...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, April 10–11, 2019
Paper Number: SPE-193848-MS
... of the proposed approach through an application to a brown-field naturally fractured reservoir (NFR) to quantify the expected uncertainty reduction and Value of Information (VOI) of a waterflood pilot following more than 10 years of primary depletion. NFRs are notoriously hard to history match due...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, April 10–11, 2019
Paper Number: SPE-193869-MS
... faults in the reservoir. The CLRM uses a sequence of optimization and assimilation alternations, with the aim of maximizing field production by taking advantage of the models' ensemble update resulting from the inclusion of new information. For this study, the new information to be assimilated...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, April 10–11, 2019
Paper Number: SPE-193910-MS
... Artificial Intelligence reservoir simulation mcmc Upstream Oil & Gas posterior distribution machine learning history matching information algorithm multinest likelihood test problem mismatch posterior sample uncertainty quantification uncertain parameter probability density commercial...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, February 20–22, 2017
Paper Number: SPE-182719-MS
... through decisions and any decision changes resulting from AHM should be modeled explicitly. Recently there has been a spurt in the application and understanding of Value of Information workflows for reservoir management. In this talk we present a comparison of existing workflows and point out...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, February 20–22, 2017
Paper Number: SPE-182632-MS
... cases with up to fifty wells. In this paper, WLO is showcased on one synthetic case and one field case to illustrate the capabilities of the workflow. optimization problem objective function History Upstream Oil & Gas information Artificial Intelligence wlo result Subsurface Description...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, February 20–22, 2017
Paper Number: SPE-182609-MS
... the expected uncertainty reduction and the value of information (VOI) attainable from a given design. This problem is challenging as the data from the acquisition program is uncertain at the time of the analysis. In this paper a method called ensemble variance analysis (EVA) is proposed. Based on a multi...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, February 20–22, 2017
Paper Number: SPE-182687-MS
... Abstract Earth models are important tools for support of decision making processes for optimal exploitation of subsurface resources. In earth modelling applications, massive amounts of information result from collecting and interpreting measurements and simulating physical scenarios at various...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Symposium, February 23–25, 2015
Paper Number: SPE-173305-MS
... information about the system and its uncertainty. A probabilistic formulation describes how uncertainties are propagated through the models all the way to simulation, and Bayes theorem defines how the probability density functions, describing the prior model characterization, can be updated by conditioning...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Symposium, February 23–25, 2015
Paper Number: SPE-173253-MS
... poroelastic medium Modeling & Simulation poroelastic expansion tensor pore pressure change layered medium society of petroleum engineers reservoir simulation pore pressure information fine scale scaling method relation multi-porosity system poroelastic property numerical result...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Symposium, February 23–25, 2015
Paper Number: SPE-173241-MS
... the same framework, using the existing algorithmic modules. Algorithmic versatility With the full system matrix being available to the System-AMG approach, all information contained in the simulated physics can be exploited to create a better AMG strategy. Efficiency In addition...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Symposium, February 23–25, 2015
Paper Number: SPE-173308-MS
... compositional information becomes available at all points in the surface network, which is important input to the facilities design. Artificial Intelligence Upstream Oil & Gas fluid modeling reservoir simulation information equation of state Asset Model Modeling & Simulation Surface...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Symposium, February 18–20, 2013
Paper Number: SPE-163623-MS
... field application for matching production and seismic data with uncertainty and conflicting information. optimization problem objective function weighting factor water saturation change machine learning reservoir simulation seismic data parameter space evolutionary algorithm history...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Symposium, February 18–20, 2013
Paper Number: SPE-163635-MS
... Abstract Distance to water front parameterization has been implemented and capability of ensemble kalman filter to handle large number of measured data on top of the uncertain parameters has been deployed to benefit from the richness of 4D seismic observation as spatial information...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Symposium, February 18–20, 2013
Paper Number: SPE-163656-MS
... Intelligence Upstream Oil & Gas information parameterization unconditional realization uncertainty quantification reservoir property realization Bayesian Inference Jafarpour inverse problem representation unconditional sample sample mean geological modeling formulation reservoir...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Symposium, February 18–20, 2013
Paper Number: SPE-163657-MS
... algorithm Hansen equation optimization problem information optimization standard enopt covariance matrix adaptation optimization method machine learning gradient matrix Introduction Several studies have shown that there is considerable scope to improve the economic life-cycle performance...

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