1-20 of 74
Keywords: information
Close
Follow your search
Access your saved searches in your account

Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, March 28–30, 2023
Paper Number: SPE-212202-MS
... neural network united states government reservoir geomechanics upstream oil & gas artificial intelligence machine learning journal differential equation deep learning approximation reservoir characterization physics-informed neural network simulation application wang accuracy porous...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, March 28–30, 2023
Paper Number: SPE-212212-MS
... flow in porous media artificial intelligence stosag gradient algorithm approximation iteration optimization problem machine learning realization fluid dynamics waterflooding enhanced recovery permeability journal accuracy information application perforation reservoir formulation...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, October 26, 2021
Paper Number: SPE-203932-MS
... until convergence to stable solutions for all fields in both simulators. One-way and two-way coupling methods require a protocol to exchange information on potentially different supporting grids (a method to perform changes of support), efficient data I/O streams between tools to write and read...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, April 10–11, 2019
Paper Number: SPE-193848-MS
... not provide information as to how the data can be interpreted and affect the ob jective function after they come in. For that purpose, signposts are needed. A signpost is an intuitive model that maps possible outcomes of the pilot to estimates of ob jective functions. For example, a signpost answers questions...
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
... in this work. Bayesian inference offers a consistent framework to assess uncertainty. Using Bayes’ rule, the uncertainty can be assessed by a posterior distribution of reservoir models as the product of prior information on the models and a likelihood function that measures the degree of fit between...
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
... incorporates data matching at the well locations and constrains the model space by adding a priori information about the sub-surface structure using a seismic impedance volume. The new framework improves predictive performance and the geological realism of the assimilated ensemble through an efficient...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, April 10–11, 2019
Paper Number: SPE-193808-MS
... ). On the other hand, it is beneficial to incorporate as many data as possible to build reliable reservoir simulation models with enhanced prediction skills. Production data (water, oil and gas rates and pressures) have been commonly used in history matching. However, their information content is usually limited...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, April 10–11, 2019
Paper Number: SPE-193834-MS
... was not known; therefore, the generated random paths did not necessarily incorporate the critical information in the facies probability maps at the early stages of simulation; thus, the resulting samples did not incorporate the important information in the probability map. To circumvent this problem, a new...
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
..., it is crucial to be able to quantify 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...
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 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 Symposium, February 23–25, 2015
Paper Number: SPE-173253-MS
... & 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 Introduction Modeling...
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-173305-MS
... geological modeling reservoir simulation information well order ensemble gradient The subsurface is often heterogeneous, and the parameters relevant to fluid flow are correlated at different length scales, but often over distances smaller than the inter-well spacing. As a consequence, there may...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Symposium, February 18–20, 2013
Paper Number: SPE-163586-MS
... matching information optimization problem objective function experiment workflow gradient bottom depth time-lapse seismic data assimilation Artificial Intelligence Upstream Oil & Gas grid block production data mismatch objective function structural parameter seismic data 1...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Symposium, February 18–20, 2013
Paper Number: SPE-163623-MS
... optimization techniques: scalarization (weighted-sum) method and the Pareto-based method. We will compare these techniques using a test function set up with conflicting information. Pareto optimal solution as multiobjective optimization Abstract History matching and optimization problems often...

Product(s) added to cart

Close Modal