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Keywords: optimization problem
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Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3861300-MS
... relying on cost-prohibitive field diagnostics. These methods provide operators with the tools necessary to tackle the rapidly growing energy crisis in a capital-constrained market environment. clastic rock geologist upstream oil & gas sedimentary rock geology optimization problem shale...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3869179-MS
... geologist geology production enhancement united states government reservoir simulation well intervention upstream oil & gas drilling operation optimization problem artificial intelligence production control hydraulic fracturing reservoir surveillance reservoir characterization...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3870880-MS
... oil & gas geosteering optimization problem stratigraphy energy economics intervention geosteerer unconventional resource economics united states government complex reservoir artificial intelligence geological subdiscipline dataset basin unconventional resource technology conference...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3853784-MS
... of the propped number, penetration ratio, drainage aspect ratio and the analysis time, UFDopt,inst = f (t, N prop ) (22) URTeC 3853784 10 In the mathematical context, the fixed propped number provides a nonlinear constraint condition in the optimization process. The UFD optimization problem can be formulated...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3719984-MS
..., which may serve as a particularly useful supplement to existing tools for unconventional development, such as decline curve analysis and reservoir simulation. fracturing materials machine learning artificial intelligence optimization problem upstream oil & gas hydraulic fracturing...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3723189-MS
... decision-making. energy economics optimization problem artificial intelligence complex reservoir shale oil oil shale forecasting upstream oil & gas unconventional resource economics shale gas pvt measurement cumulative gor inflection point procedure gor formulation drainage...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3723620-MS
... surveillance optimization problem pressure transient testing production control fluid dynamics artificial intelligence observation well hydraulic fracturing gauge reservoir simulation unconventional resource technology conference drillstem/well testing hfts-2 project history matching bone spring...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 26–28, 2021
Paper Number: URTEC-2021-5441-MS
... optimization problem machine learning upstream oil & gas artificial intelligence information geological property workflow cumulative rate urtec 5441 global model model performance procedure complex reservoir well performance response variable algorithm delaware basin machine...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 20–22, 2020
Paper Number: URTEC-2020-2719-MS
... simulation uncertainty parameter pad problem iteration history fracture half-length reservoir simulation fracture azimuth urtec 2719 decision parameter optimization problem upstream oil & gas fracture conductivity klie physai model scenario knowledge configuration production profile...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 20–22, 2020
Paper Number: URTEC-2020-3160-MS
... in their scopes, but the existence of natural fractures indeed alters hydraulic fracture geometry through the natural-hydraulic fracture interaction (Dahi Taleghani and Olson, 2013). machine learning hydraulic fracturing artificial intelligence reservoir characterization optimization problem upstream...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 20–22, 2020
Paper Number: URTEC-2020-2568-MS
... drilling drillstem/well testing intervención de pozos petroleros artificial intelligence optimization problem reservoir simulation fracture characterization fluid dynamics inflow performance urtec 2568 energy information administration stimulation treatment unconventional resource technology...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 22–24, 2019
Paper Number: URTEC-2019-935-MS
... dimensions of the model, we are able to simulate different pressure fluctuations at the wellhead. A novel workflow was also developed to link fracture dimensions to the observed field data. It utilizes an iterative ensemble smoother algorithm to solve the resulting optimization problem. The results...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 22–24, 2019
Paper Number: URTEC-2019-278-MS
... unconventional reservoir development environment. Additionally, Xiong and Wu (2018) refer extensively to the hydraulic and propped half-lengths whereas it is the effective fracture half-length that is of interest in production and well spacing optimization problems. As illustrated in figure 1, Barree et al...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 22–24, 2019
Paper Number: URTEC-2019-185-MS
... from the matrix into the fractures. The surface area obtained from the RTA is the effective area associated with the production—not total area. It is the most fundamental and the most significant quantity in the optimization problem. Differential evolution (DE) algorithm and a multi-scale shale gas...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 22–24, 2019
Paper Number: URTEC-2019-443-MS
... fracturing operations and shale play development, including unit development costs and unit profitability. hydraulic fracturing Artificial Intelligence complex reservoir optimization problem Simulation forecast quality variation window variability natural fracture hydrocarbon production shale...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 23–25, 2018
Paper Number: URTEC-2904037-MS
... events is warranted but could prove tedious and time consuming if done manually. Artificial Intelligence data series information application machine learning optimization problem reservoir modeling minimal cost path well pick well log picking Reservoir Characterization Upstream Oil...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 23–25, 2018
Paper Number: URTEC-2903078-MS
... required for reports to regulatory agencies. machine learning Artificial Intelligence reserves evaluation production control production forecasting hyperbolic model production monitoring exponential decline production data arp parameter bdf regime optimization problem diagnostic plot...
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-2901376-MS
... using an exhaustive search method which can be computationally prohibitive using classical numerical simulation techniques. optimization problem Simulation child well DTOF Artificial Intelligence reservoir simulation fmm-based simulation fmm-based approach parent well Modeling...

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