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Keywords: artificial intelligence
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Proceedings Papers

Paper presented at the SPE/AAPG/SEG Asia Pacific Unconventional Resources Technology Conference, November 16–18, 2021
Paper Number: URTEC-208298-MS
... network machine learning drilling operation artificial intelligence deep learning in-seam drilling engineering drill bit gamma ray correlation rop complex reservoir upstream oil & gas prediction rate of penetration formation type noncoal coal noncoal classification regression task...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Asia Pacific Unconventional Resources Technology Conference, November 16–18, 2021
Paper Number: URTEC-208282-MS
... Forecasting and Economic Evaluation of Pressure Drawdown Effect in Unconventional Oil Reservoirs Under Uncertainty of Water Blockage Severity. Published in Journal of Petroleum Science and Engineering 185 (2020) 106646 httpsdoi.org/10.1016/j.petrol.2019.106646 artificial intelligence rate measurement...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Asia Pacific Unconventional Resources Technology Conference, November 16–18, 2021
Paper Number: URTEC-208334-MS
... & gas efficiency formation pressure doi 10 geomechanical property completion performance well logging drilling operation pore pressure reservoir pressure fracture pressure physics-based model drilling data acquisition artificial intelligence wellbore design calculation mud weight...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Asia Pacific Unconventional Resources Technology Conference, November 16–18, 2021
Paper Number: URTEC-208284-MS
... to the stress reorientation in a multi-layer shale reservoir. The results from the numerical studies provide more instructive suggestions on infill drilling of highly fractured reservoirs. artificial intelligence hydraulic-natural fracture intersection natural fracture density stress field upstream...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Asia Pacific Unconventional Resources Technology Conference, November 16–18, 2021
Paper Number: URTEC-208320-MS
... fracturing design and operation, and enhance the potential of shale reservoir development. shale gas net pressure index satisfy eq fracture propagation mode hydraulic fracturing pressure drop bottom net pressure artificial intelligence upstream oil & gas shale gas fracture network...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Asia Pacific Unconventional Resources Technology Conference, November 16–18, 2021
Paper Number: URTEC-208275-MS
... depletion state well spacing machine learning upstream oil & gas value driver complex reservoir future development well solution space sector model resource density artificial intelligence decision framework model well spacing study ranking methodology section subsurface realisation...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Asia Pacific Unconventional Resources Technology Conference, November 16–18, 2021
Paper Number: URTEC-208310-MS
... constraints into DL models. equation of state pvt measurement artificial intelligence deep learning neural network upstream oil & gas calculation pinn model machine learning reservoir simulation thermodynamic constraint constraint composition fraction fluid mixture rmse component...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Asia Pacific Unconventional Resources Technology Conference, November 16–18, 2021
Paper Number: URTEC-208384-MS
... production control artificial intelligence production monitoring data mining complex reservoir upstream oil & gas production forecasting th nearest neighbor outlier minimum mae outlier detection algorithm synthetic field example reservoir surveillance production data management...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Asia Pacific Unconventional Resources Technology Conference, November 16–18, 2021
Paper Number: URTEC-208348-MS
... arises is how to establish an effective and convenient novel method for forecasting AOFP. Other than traditional methods, several researchers (Chen and Rahman, 2015; Suhag et al., 2017; Rachman and Ratnayake, 2018; Zhang et al., 2019; Wang et al., 2020a; etc.) have recently used artificial intelligence...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Asia Pacific Unconventional Resources Technology Conference, November 16–18, 2021
Paper Number: URTEC-208386-MS
... of shale. A pressure rise combined with a low temperature can result in more CO 2 uptake, whereas a pressure reduction combined with a high temperature can result in lower CO 2 uptake reservoir characterization structural geology adsorption isotherm effective process parameter artificial...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Asia Pacific Unconventional Resources Technology Conference, November 16–18, 2021
Paper Number: URTEC-208308-MS
.... machine learning artificial intelligence chemical flooding methods enhanced recovery proppant regression np-co2 foam fracturing fluid ml algorithm hydraulic fracturing upstream oil & gas prediction fracturing materials neural network accuracy svr model shear rate experimental data...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Asia Pacific Unconventional Resources Technology Conference, November 16–18, 2021
Paper Number: URTEC-208343-MS
... strategies. machine learning unconventional resource economics reservoir storage energy economics upstream oil & gas overlain complex reservoir cutoff artificial intelligence geologic production driver information wellbore deliverability thermal maturity well performance geologic...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Asia Pacific Unconventional Resources Technology Conference, November 16–18, 2021
Paper Number: URTEC-208362-MS
... petroleum engineer artificial intelligence cobol tugan & weijermar flow regime unconventional resource technology conference Copyright 2021, Unconventional Resources Technology Conference (URTeC) ...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Asia Pacific Unconventional Resources Technology Conference, November 16–18, 2021
Paper Number: URTEC-208291-MS
... to validate the history-matched ensemble. The results showed a good match of 12 months of the new production data, not used in history-matching. That highlights the robust prediction capabilities of the approach. coalbed methane localization area gas content artificial intelligence coal seam gas es...

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