1-20 of 57
Keywords: deep learning
Close
Sort by
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4044012-MS
... production of each drilling unit as targets; and 6) evaluating optimization with real data and creating what-if forecasting scenarios. neural network deep learning geology geologist complex reservoir machine learning wine-rack geometry unconventional drilling unit dsus artificial intelligence...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4044067-MS
... reservoir modeling & simulation machine learning geology production forecasting urtec workflow large language model clastic rock rock type artificial intelligence geological subdiscipline operator information efficient field development decision driven evaluation deep learning asset...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4044069-MS
... of deep-learning neural network models were trained on Bakken well data: 70% for training, 20% for validation, and 10% for holdout to predict monthly oil, water, and gas volumes. The best ten models were first selected for low validation errors, then advanced for reservoir-engineering benchmarking...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4044635-MS
... of these models through new workflows to accommodate the distinct characteristics of unconventional reservoirs. complex reservoir geology natural language forecasting deep learning machine learning geologist artificial intelligence unconventional reservoir urtec scenario accuracy transformer...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4049496-MS
... of machine learning and traditional models' capacities and limitations in forecasting EUR for unconventional reservoirs. eagle ford geologist deep learning artificial intelligence sedimentary rock machine learning complex reservoir ultimate recovery information geology reservoir surveillance...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4054687-MS
... and pattern recognition. structural geology drillstem/well testing reservoir simulation deep learning pvt measurement drillstem testing neural network geologist risk management data quality reservoir geomechanics equation of state asset and portfolio management artificial intelligence...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4055265-MS
... network clastic rock shale gas complex reservoir artificial intelligence deep learning mape rock type dataset modeling & simulation machine learning realization production forecasting accuracy prediction permeability sedimentary rock geology mudrock flow in porous media mudstone...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4056167-MS
... approach offers an engineered way to enhance stimulation efficiency. drillstem/well testing neural network rock type sedimentary rock deep learning proppant completion installation and operations geologist fracturing fluid drillstem testing production logging artificial intelligence...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4043196-MS
... often struggle to capture the intricate relationships between various drilling parameters, leading to inaccurate predictions. neural network deep learning machine learning drilling operation prediction artificial intelligence architecture transformer prediction depth slb-private complex...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4043583-MS
... forecasting scenario geologist deep learning modeling & simulation energy economics time sery transformer application transforming early-stage oil clastic rock rock type natural language generative ai history gas production forecasting houston production forecasting machine learning...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4032318-MS
... Abstract This study aims to leverage deep learning (DL) to forecast oil production dynamics, focusing on the transition from conventional to unconventional reservoirs in the Shengli Oilfield, China. Due to the discrepancy in geological characteristics and development methods, production data...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4053769-MS
... recovery. geology sagd enhanced recovery geological subdiscipline optimization workflow integrating geomechanics steam-assisted gravity drainage modeling & simulation geomechanics recovery geologist algorithm optimization problem artificial intelligence convergence deep learning...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3863926-MS
... the nonlinearity as well as the impact of manual operations. Production history was obtained from 3 wells of the Eagle Ford shale (Frio, La Salle, and Zavala County) where a single well data was split into a 75:25 ratio for training and testing. Deep learning (DL) algorithms, long short-term memory (LSTM) and Bi...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3860898-MS
... neural network deep learning upstream oil & gas complex reservoir united states government drillstem testing europe government production monitoring gas well deliquification liquid loading canada government reservoir surveillance artificial lift system simulation production control...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3866049-MS
... in the national greenhouse-gas inventory (Zavala-Araiza et al., 2015). Both anthropogenic and natural emissions of CH 4 are likely to increase if no mitigation plans are deployed. upstream oil & gas emission neural network united states government air emission deep learning ch 4 methane...

Product(s) added to cart

Close Modal