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Keywords: objective function
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Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 20–22, 2020
Paper Number: URTEC-2020-3160-MS
... fracture model an ability to search for the optimal input parameters on its own. For an actual auto-optimization of the hydraulic fracturing design, a hydraulic fracture model needs to be bonded with optimization algorithms that can locate the optimal solution from a prescribed objective function. Ma et...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 23–25, 2018
Paper Number: URTEC-2886118-MS
... for the pad-specific well trajectories, stage locations, and timing of the treatment to yield results representative of the rock and fracture mechanics that drive offset well pressure observations. optimization problem objective function complex reservoir monitor stage Artificial Intelligence...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 23–25, 2018
Paper Number: URTEC-2903145-MS
... in the data. The present approach can be adapted to gas-flow problems in dual-permeability media (hydraulically or naturally fractured) or highly heterogeneous sedimentary rock, as well as to retrograde condensation. shale gas complex reservoir hydraulic fracturing objective function gas...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 24–26, 2017
Paper Number: URTEC-2659996-MS
... to the training data set, which is used to train a set of support vector regression (SVR) models. As the sensitivity matrix for each realization can be estimated analytically from the SVR models, the DGN can use the sensitivity matrix to generate better search point such that the objective function value can...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 24–26, 2017
Paper Number: URTEC-2673695-MS
..., the traditional DOE process identifies a predetermined set and number of simulation cases and then "learns" after all the results are in to determine the optimum parameter values. To demonstrate the optimization processes, the 5-year, undiscounted payout was chosen as the objective function and applied...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, August 1–3, 2016
Paper Number: URTEC-2459970-MS
... Artificial Intelligence pore pressure borehole pressure measurement Upstream Oil & Gas permeability value porosity plane Reservoir Characterization objective function normal stress rock strength weakness seismicity injection orientation information fluid pressure seismic...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, August 1–3, 2016
Paper Number: URTEC-2429986-MS
... proved quite robust for generating multiple realizations by conditioning to production data. However, it is still expensive to apply traditional optimization algorithms to find a conditional realization by minimizing the objective function defined within a Bayesian framework, especially when adjoint...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, August 25–27, 2014
Paper Number: URTEC-1885283-MS
... constraint convergence performance Optimization Method URTeC optimization workflow optimization algorithm superposition formulation objective function iteration algorithm gradient perturbation size delay time workflow Revenue formulation URTeC: 1885283 An Efficient Optimization Workflow...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, August 12–14, 2013
Paper Number: URTEC-1618963-MS
..., other options are currently being employed to manage flow back and produced waters [5]. URTeC 1618963 Upstream Oil & Gas contaminant water management produced water discharge optimization problem objective function Artificial Intelligence constraint beneficial use urtec 1618963...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, August 12–14, 2013
Paper Number: URTEC-1562145-MS
... to demonstrate the advantages of this new algorithm. URTeC 1562145 Reservoir Characterization optimization problem theoretical dispersion curve Stoneley mode dispersion curve noise mud speed Artificial Intelligence objective function mud slowness inversion multiple mode weighting anisotropy...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, August 12–14, 2013
Paper Number: URTEC-1580378-MS
... suboptimal and inefficient results. URTeC 1580378 complex reservoir HF stage placement stage placement shale gas gridblock optimization optimization algorithm Artificial Intelligence Upstream Oil & Gas shale gas reservoir algorithm optimization problem objective function control...

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