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Keywords: constraint
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Journal Articles
Journal: SPE Journal
SPE J. 26 (05): 2703–2715.
Paper Number: SPE-205379-PA
Published: 13 October 2021
... designs and field data acquisition through a synthetic case study. Ideally, there are available data on both sides of each fracture so that the inverted width of each fracture can be obtained with a negligible error. In reality, the strain data are usually limited, providing less constraint on the width...
Journal Articles
Journal: SPE Journal
SPE J. (2021)
Paper Number: SPE-206740-PA
Published: 20 September 2021
... to get the most efficient gas allocation for each well, taking into account the limited capacity and operational constraints of the platform. In this context, previous authors have proposed optimization models that maximize a (surrogate) gas lift performance curve (GLPC) (i.e., the oil flow rate...
Journal Articles
Journal: SPE Journal
SPE J. (2021)
Paper Number: SPE-206730-PA
Published: 17 September 2021
... regime is noted from the stress profile from Sheorey’s solution; in the inversion method, given the absence of other constraints, only one stress regime is used for constraining the objective function. Also, four-arm caliper logs are almost never run in the surface casing section (100- to 250-m depth...
Journal Articles
Journal: SPE Journal
SPE J. (2021)
Paper Number: SPE-205213-PA
Published: 13 September 2021
... application cev optimization problem exclusion jpd application 1 optimal policy scenario bayesian inference constraint information drilling sequence upstream oil & gas sequence application 2 probability drilling campaign sdm sequence length Drilling campaigns generally demand...
Journal Articles
Journal: SPE Journal
SPE J. 26 (04): 2002–2017.
Paper Number: SPE-205395-PA
Published: 11 August 2021
... and subsurface constraints for in-situ-upgrading (IUP) projects has been described in the recent past. In this paper, we describe the development and application of a novel field-development-optimization capability, including the optimization of the ramp-up phase to accelerate the production to achieve a faster...
Journal Articles
Journal: SPE Journal
SPE J. 26 (04): 1964–1979.
Paper Number: SPE-205366-PA
Published: 11 August 2021
...). Thus, it is important to consider multiobjective robust production optimization with nonlinear constraints and when geological uncertainties are incorporated. The three objectives considered in this paper are; to maximize the average life-cycle NPV, to maximize the average short-term NPV...
Journal Articles
Journal: SPE Journal
SPE J. 26 (04): 1914–1945.
Paper Number: SPE-201721-PA
Published: 11 August 2021
... optimization problem cycle length co 2 bayesian inference steam-assisted gravity drainage optimization case machine learning sagd upstream oil & gas computational time artificial intelligence complex reservoir vector hnp process simulation run fraction august 2021 constraint design...
Journal Articles
Journal: SPE Journal
SPE J. 26 (04): 1837–1857.
Paper Number: SPE-203980-PA
Published: 11 August 2021
... such as time-varying well bottomhole pressures (BHPs). However, when nonlinear output constraints (e.g., maximum well/field water production rate or minimum well/field oil rate) are specified, the problem is more challenging because well rates as a function of time are required. In this work, we develop...
Journal Articles
Journal: SPE Journal
SPE J. 26 (04): 1590–1613.
Paper Number: SPE-204236-PA
Published: 11 August 2021
..., or total liquid) at each well on a set of specified control steps (time intervals), with the limitations on surface facility considered as nonlinear-state constraints [e.g., field-liquid-production rates (FLRs), field-water-production rates (FWRs), and/or field-gas-production rates]. If the reservoir...
Journal Articles
Journal: SPE Journal
SPE J. (2021)
Paper Number: SPE-200772-PA
Published: 22 June 2021
... that is verified by the remaining historical data. For well control optimization, the P50 model is selected to maximize the net present value (NPV) in 5 years under provided well/field constraints. This confirms that the calibrated network model is accurate enough for production forecasts and optimization. The use...
Journal Articles
Journal: SPE Journal
SPE J. 26 (01): 359–371.
Paper Number: SPE-204225-PA
Published: 10 February 2021
... method are nonunique, heavily depending on the a priori regularization information. Regardless of the additional constraints imposed on the linear system, the inverted fracture width at the monitor-well location is always consistent with the true value because the LF-DAS data show a dominant sensitivity...
Journal Articles
Journal: SPE Journal
SPE J. 25 (04): 1938–1963.
Paper Number: SPE-193925-PA
Published: 13 August 2020
...Zhe Liu; Albert C. Reynolds Summary Solving a large‐scale optimization problem with nonlinear state constraints is challenging when adjoint gradients are not available for computing the derivatives needed in the basic optimization algorithm used. Here, we present a methodology for the solution...
Journal Articles
Journal: SPE Journal
SPE J. 24 (03): 1364–1377.
Paper Number: SPE-174772-PA
Published: 17 April 2019
... type curves with minimum width constraints. The following observations were made during the study on the basis of the performed runs: For a given volume or proppant, N P , total J D for multiple fractures increases to an asymptote as the number of fractures increases. This asymptote represents...
Journal Articles
Journal: SPE Journal
SPE J. 23 (06): 2015–2025.
Paper Number: SPE-182611-PA
Published: 27 August 2018
...-control technique is provided. The location of the hottest spot along the wellbore is scanned at every timestep. Severe numerical instabilities are observed when the thermodynamic approach is used. A new constraint based on the total production rate at reservoir condition is introduced. Details...
Journal Articles
Journal: SPE Journal
SPE J. 23 (02): 467–481.
Paper Number: SPE-189457-PA
Published: 06 February 2018
... 2017 28 9 2017 25 9 2017 6 2 2018 12 4 2018 Copyright 2018, Society of Petroleum Engineers Artificial Intelligence regularization method april 2018 Upstream Oil & Gas Simulation PSO constraint correlation structure convergence speed regularization...
Journal Articles
Journal: SPE Journal
SPE J. 22 (06): 1984–1998.
Paper Number: SPE-182598-PA
Published: 25 September 2017
... particle Artificial Intelligence constraint gradient-based method Upstream Oil & Gas Simulation weight 0 moo problem algorithm december 2017 Pareto front weight coefficient optimization problem objective function optimization iteration diversity Optimization Method Mopso...
Journal Articles
Journal: SPE Journal
SPE J. 22 (05): 1585–1595.
Paper Number: SPE-185956-PA
Published: 13 June 2017
... 2017 13 10 2017 Copyright 2017, Society of Petroleum Engineers optimization problem constraint prediction output constraint Artificial Intelligence injector flow rate producer Upstream Oil & Gas robust approach Control Policy reservoir simulation prediction horizon...
Journal Articles
Journal: SPE Journal
SPE J. 22 (01): 289–299.
Paper Number: SPE-175079-PA
Published: 29 June 2016
...-pressure (BHP) production constraint during infinite-acting periods (i.e., before pressure transient reaching the reservoir boundary). We propose a semianalytical solution to the multiphase governing partial-differential equations (PDEs) by applying the similarity method—also referred to as the Boltzmann...
Journal Articles
Journal: SPE Journal
SPE J. 21 (03): 0947–0964.
Paper Number: SPE-147622-PA
Published: 15 June 2016
... well fracture hydraulic fracturing constraint Exhibition analytical model sensitivity analysis flow in porous media Fluid Dynamics equation fracture height production rate proppant fracture permeability june 2016 drillstem testing permeability drillstem/well testing During...
Journal Articles
Journal: SPE Journal
SPE J. 21 (05): 1830–1842.
Paper Number: SPE-173274-PA
Published: 11 April 2016
... in reservoir description. However, the algorithms presented in Liu and Reynolds ( 2015b ) considered only bound constraints. Here, we develop algorithms to generate points on the Pareto front when nonlinear state (output) constraints are present. The Pareto front is generated either by a constrained weighted...

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