... Engineers sedimentary rock geologist clastic rock geology mudrock reservoir simulation history matching optimization problem upstream oil & gas united states government rock type mudstone coefficient diffusion coefficient regime iteration reservoir geomechanics artificial...

... by Besides the computational inefficiency of the integrated model, many parameters are incorporated into the model, further complicating the optimization problem. Only the most significant parameters in the model should be dealt with to decrease the computational cost. As a result, it is necessary to perform...

... matching and forecasting workflow in the investigated limited-volume aquifer-driven development. 13 6 2022 29 11 2022 28 11 2022 10 1 2023 9 8 2023 Copyright © 2023 Society of Petroleum Engineers history matching insim-bhp upstream oil & gas optimization problem...

... is linear measured in this approach. That is, investors have an underlying risk-neutral position in the front of downside risk ( Sortino et al. 2001 ). optimization problem artificial intelligence reservoir characterization placement optimization investor downside-risk optimization risk...

... handle uncertainty, and the data-driven model may forecast out of the physical range of the model output parameters. As a result, data-driven process modeling incorporating physical or operational constraints and an optimization problem formulation that references a decision-makers' metrics...

... EOR injection strategies that maximize the annually discounted economic values of the injected and production data. The control variables of optimization problems include EOR gas rate or chemical concentration, water rates, oil rate, or bottomhole pressures. An ensemble-based optimization method...

... optimization problem co 2 workflow hyperparameter may 2022 As the concerns over global warming grow, worldwide attention is increasing on the use of technologies that can aid in reducing or capturing and storing anthropogenic CO 2 ( Tayari and Blumsack 2020 ). Long-term sequestration of CO 2...

... storage and oil recovery. The optimization problem was focused on joint estimation of well completions (i.e., fraction of injection/production well perforations in each reservoir layer) and CO 2 injection/oil production controls [i.e., rates or bottomhole pressures (BHPs)] that maximize the net present...

... drainage curve spe-5 model miscible method fluid dynamics development scenario spe reservoir evaluation spe reservoir evaluation & engineering optimization problem wag development scenario hysteresis case hysteresis model WAG as a tertiary recovery method is traditionally applied...

...Mohammad Salehian; Morteza Haghighat Sefat; Khafiz Muradov Summary Field development and control optimization aim to maximize the economic profit of oil and gas production. Mathematically, this results in a complex optimization problem with a large number of correlated decision (also known...

... in which nonlinearities are not strong, as is the case often for well-control optimization. This fact is supported by the good performance in these types of optimization problems of techniques that rely strongly on linearity assumptions, such as trajectory piecewise linearization, a procedure...

... algorithm thermal method artificial intelligence sagd asset and portfolio management optimization problem shale oil gas injection method oil shale field development optimization and planning objective function calculation oil production reservoir pressure recovery oil-recovery factor average...

... of Petroleum Engineers thermal method modeling & simulation artificial intelligence machine learning bayesian inference enhanced recovery optimization problem gas injection method posterior distribution objective function usa cumulative oil production hnp performance oil recovery...

... relative permeability hysteresis yadali jamaloei production cycle relative permeability steam injectivity enhanced recovery optimization problem compressibility porosity css permeability oil sand hysteresis fracture complex reservoir spe reservoir evaluation fraction peace river...

...-control optimization, and the joint optimization of these two aspects. For the joint-optimization problem, both the simultaneous approach and sequential approach are considered. A net-present-value (NPV) formula for evaluation of the steamflooding project is proposed, and optimization runs are conducted...

... surveillance machine learning flow in porous media chemical flooding methods directional drilling artificial intelligence optimization problem drilling operation geologic modeling reservoir characterization enhanced recovery asset and portfolio management reservoir simulation evolutionary...

... to the work by Bianchi et al. ( 2018 ) for more details. machine learning enhanced recovery production control optimization problem artificial intelligence production monitoring modeling & simulation reservoir characterization waterflooding neural network optimization producer test...

... 2019 19 8 2019 8 11 2019 6 5 2019 14 5 2020 2020.Society of Petroleum Engineers Artificial Intelligence constraint optimization optimization problem Engineering Reservoir Management enhanced recovery Upstream Oil & Gas oil production application SPE...

... method fluid dynamics gas injection method reserves evaluation asset and portfolio management reservoir model optimization problem carbonate reservoir history matching geologic modeling production monitoring modeling & simulation hydraulic fracturing production plateau fracture...

... strategies using high‐resolution geologic models. 3 10 2018 27 5 2019 19 5 2019 23 10 2019 14 4 2018 17 2 2020 Copyright © 2020 Society of Petroleum Engineers optimization problem Simulation Modeling & Simulation huff enhanced recovery fmm-based simulation...