...Azad Almasov; Mustafa Onur Summary In this study, we present a framework for efficient estimation of the optimal carbon dioxide (CO 2 )-water-alternating-gas (WAG) parameters for robust production-optimization problems by replacing a high-fidelity model with a least-squares support-vector...

... is poorly understood because of inadequate characterization of the reservoir. fluid dynamics optimization problem modeling & simulation structural geology subsurface storage objective function reservoir characterization reservoir capillary pressure saturation reservoir model reservoir...

... ( χ ν , w + χ ν , k ) / 2 −12 −12 1,900 fluid dynamics reservoir simulation upstream oil & gas optimization problem structural geology flow in porous media enhanced recovery objective artificial intelligence reservoir characterization surface...

.... Synthetic and field examples are analyzed to illustrate the detailed implementations and the performance of the proposed inversion method. 21 3 2022 19 7 2022 6 7 2022 17 8 2022 8 2 2023 Copyright © 2023 Society of Petroleum Engineers optimization problem log analysis...

... involves an integer-valued optimization parameter because of the discrete nature of the well count. On the other hand, the well-location, well-trajectory, and well-opening-time optimization components typically feature real-valued continuous optimization parameters. The combined optimization problem...

... Copyright © 2023 Society of Petroleum Engineers managed pressure drilling upstream oil & gas wellbore design annular pressure drilling drilling fluids and materials measurement while drilling wellbore integrity europe government asia government optimization problem artificial...

... i − y i = 0. 2 10 2022 14 12 2022 24 11 2022 18 1 2023 Copyright © 2023 Society of Petroleum Engineers upstream oil & gas optimization problem neural network united states government china government prediction reservoir...

... project economics optimization machine learning npv closed-loop reservoir management asia government optimization problem asset and portfolio management deterministic optimization formulation scenario enhanced recovery deep reinforcement learning example realization marr test-case...

.... However, this joint optimization problem, whether in a sequential or simultaneous manner, is more computationally demanding. In light of this, we propose the use of capacitance-resistance models (CRMs) to assist the computational demand of the joint optimization of well controls and well placement...

... simulation oil field prediction lambda weight production control artificial intelligence optimization problem fluid dynamics well production forecast producer machine learning reservoir surveillance production forecasting upstream oil & gas connectivity coefficient coefficient producing...

... et al. (2009) . Variations of EnOpt have been proposed to improve the optimizations ( Fonseca et al. 2014 , 2015 ). One of them is the StoSAG ( Fonseca et al. 2017 ). This algorithm generally yields a higher value of the NPV for the robust optimization problem than is obtained with the standard...

... Engineers well planning constraint machine learning optimization problem evolutionary algorithm trajectory design endpoint continuity condition inclination dof well path design survey point bezier curve target point artificial intelligence upstream oil & gas boundary condition...

...; for example, well placement optimization (WPO) problems, which are a common engineering optimization problem in the oil industry. To overcome such limitations, a sequential ETO algorithm for WPO problems based on task characteristics and an autoencoder is developed in this paper. It uses the implicit...

... complex reservoir plugging material optimization problem dissolution percentage psd seam plate particle size distribution bridging particle size distribution leakage different size pollution 0 spe journal experiment lcm method permeability particle size fracture wellbore fractured...

... production control machine learning enhanced recovery modeling & simulation artificial intelligence equation of state hydraulic fracturing flow in porous media optimization problem reservoir characterization reservoir surveillance shale gas drillstem testing complex reservoir history...

... from historical data and transfer it to the target production-optimization problem, avoiding massive time for “trial and error” and getting superior performance. Besides, HWTGP has a self-adaptive mechanism to avoid harmful and ineffective experience transfer when tasks in historical and current...

...Junjie Yu; Behnam Jafarpour Summary Optimization of well controls in waterflooding operations has been established as an effective strategy to increase oil recovery efficiency and to reduce operating costs. Optimization problems, however, entail hundreds of full-scale reservoir simulation runs...

... algorithm history matching enhanced recovery optimization problem upstream oil & gas exhibition optimization period realization waterflooding geologic realization history paper centroid injector (3) C ∗ = arg ⁡ min C ∑ i = 1 k ∑ x ∈ C i...

... of Petroleum Engineers optimization problem artificial intelligence well performance constraint upstream oil & gas proxy engine proxy application reservoir simulation ipr database simulation well interference modeling & simulation network model ipr curve scenario interference...

...). Incorporation of the full set of realizations results in the oil and gas field development optimization problem—where either an algorithm iteratively tries to find the best solution from all the possible alternatives or the best solution must be selected from a set of predefined engineering judgment-driven...