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Keywords: artificial intelligence
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Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3864914-MS
.... deformation clastic rock geologist united states government sedimentary rock structural geology upstream oil & gas wellbore design hydraulic fracturing reservoir geomechanics geological subdiscipline poisson onset application mudrock artificial intelligence reservoir characterization...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3866049-MS
... emission thorpe available machine learning plume architecture thompson proceedings climate change dataset convolutional neural network methane emission identification deep learning model artificial intelligence frankenberg atmospheric measurement technique atmospheric chemistry point...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3864951-MS
... in lower tier acreages or seek additional value in existing assets. One cost-effective means of the latter is to refracture, or "refrac", previously producing wells with more effective completions designs. united states government geology upstream oil & gas artificial intelligence machine...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3865091-MS
... pressure is an innate component of the stress state in the rock it is therefore a determining factor in the energy required to break the rock. sedimentary rock geology interpretation clastic rock geologist complex reservoir artificial intelligence united states government mudrock mudstone...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3866084-MS
... information geological subdiscipline neural network reservoir geomechanics young united states government artificial intelligence machine learning geology textural intensity 0 machine learning facilitate prediction grayscale intensity segmentation elastic moduli pixel texture dataset complex...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3864794-MS
... that contribute to variations in performance across different operators. geologist upstream oil & gas complex reservoir urtec brad bernard 1 united states government artificial intelligence shapley approach decision tree learning machine learning stephen sagriff geology enverus intelligence...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3867323-MS
.... geologist united states government fracture characterization geology upstream oil & gas hydraulic fracturing complex reservoir log analysis proppant fracturing fluid artificial intelligence completion installation and operations fracturing materials real time system well logging...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3865660-MS
... upstream oil & gas neural network artificial intelligence architecture geological subdiscipline geology mineral machine learning classification mancos shale information detection utilizing deep learning approach conference dataset calcite accuracy university characteristic mineral...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3865670-MS
... technology conference artificial intelligence resource technology conference workflow driven oil production prediction geologist united states government modeling & simulation energy economics ml algorithm unconventional asset development planning geology complex reservoir machine learning...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3865879-MS
... with limited amounts of measurements. In this paper, we aim to use advanced artificial intelligence (AI) methods such as deep reinforcement learning (DRL) to improve their performance for geosteering problems. The drilling agent mimics the combined effort of a directional driller on the surface...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3869179-MS
... 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 lateral downhole intervention technology...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3866741-MS
... to optimize production while addressing pressing environmental concerns. geologist upstream oil & gas mineral complex reservoir artificial intelligence seismic model geological subdiscipline climate change geology subsurface storage reservoir geomechanics canada government montney...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3863378-MS
... states government accuracy artificial intelligence china information real-time warning method classification hydraulic fracturing technology conference unconventional resource technology conference southwest china multistage horizontal well fracturing directional drilling shale gas presented...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3863764-MS
... data is obtained from vendor. Second, the MSE data is used to generate a gross fracture geometry. Third, the embedded discrete fracture model coupling artificial intelligence (EDFM-AI) is used to calibration effective fracture geometry. Next, a representative time is selected to obtain a corresponding...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3855873-MS
... for planning injection wells and schedules. produced water discharge structural geology lineament plate tectonics complex reservoir reservoir geomechanics artificial intelligence geologist united states government modeling & simulation reservoir characterization midland basin basement...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3862589-MS
... data mining process and insight on how to develop better predictive models can be transferred for parent–child well studies conducted in other basins. drillstem/well testing upstream oil & gas geologist drillstem testing complex reservoir artificial intelligence data mining economic...

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