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Keywords: machine learning
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Proceedings Papers

Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-211406-MS
... by approximately 465,000 BBLS (observed on 9 wells between Oct-2019 to Dec-2021). upstream oil & gas data quality prototype enhanced recovery conformance improvement machine learning prediction petroleum engineer estimation workflow requirement operational efficiency artificial intelligence...
Proceedings Papers

Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-210824-MS
... natural language information extraction optical character recognition machine learning co 2 workflow application nlp automating carbon storage site assessment keyword production inc shell global solution us inc Introduction The IPCC (Intergovernmental Panel on Climate Change) and IEA...
Proceedings Papers

Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-210794-MS
... SuccessFactors for all its core processes makes integrating LMS with other HR systems and modules much more practical. artificial intelligence upstream oil & gas personnel competence educational setting learner reality human computer interaction machine learning benefit pdo development...
Proceedings Papers

Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-210841-MS
... climate change gravity injection gravity gradient neural network sustainable development taranaki basin monitoring co2 migration sustainability social responsibility machine learning new zealand subsurface storage quantum gravity ai framework application reservoir characterization...
Proceedings Papers

Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-210805-MS
... the operational parameters of an FPSO with carbon capture, use, and storage (CCUS) contribute to the overall effect. The input parameters for the sensitivity analysis are chosen from some thermodynamic and structural design variables. To accomplish the objectives, four machine learning-based screening analysis...
Proceedings Papers

Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-211408-MS
... permeability curve and production surveillance data to predict the production performance. The commonly used methods include water drive characteristic curve, logistic prediction model ( Yu Qitai and Jin Hongwei, 1995 ; Yu Qitai, 1998 , 1999 ), etc. In recent years, with the development of machine learning...
Proceedings Papers

Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-211409-MS
... scenarios proved to be key to reach all of these objectives. fluid dynamics ensemble risk management machine learning realization permeability upstream oil & gas flow in porous media artificial intelligence workflow facies reservoir simulation modeling & simulation reservoir...
Proceedings Papers

Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-211383-MS
... interpretation and analysis workflow for formation testing data. We aim to leverage human-in-the-loop automation to an entire workflow using machine-learning (ML) algorithms, reducing turnaround time from weeks to minutes while also generating new insights. Using a combination of traditional and ML algorithms...
Proceedings Papers

Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-211393-MS
... of the injected fluid. With such well data and viscosity measurements, calculating the viscosity becomes a machine learning regression problem. Training the machine learning regression methods on the actual inline and laboratory-measured polymer viscosity has demonstrated that VVM is a promising, high-accuracy...
Proceedings Papers

Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-211372-MS
... dynamics optimization problem scaling method reservoir characterization grid artificial intelligence machine learning nuc grid algorithm evolution iteration sequence optimization algorithm reservoir simulation enhanced recovery optimization workflow transmissibility flow diagnostic...
Proceedings Papers

Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-211364-MS
... long production history with stable reservoir performance. upstream oil & gas production monitoring artificial intelligence forecasting production control saturation history forecast reservoir surveillance machine learning algorithm dca k-means clustering ai assisted well...
Proceedings Papers

Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-211424-MS
... miscibility pressure normalized mole fraction journal model co 2 prediction displacement composition petroleum science upstream oil & gas enhanced recovery machine learning mmp determination dindoruk neuron engineering Introduction Currently majority of the oil production is coming...
Proceedings Papers

Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-211426-MS
... be sorted through generation of CO 2 foams in the reservoir. This work proposes the utilization of machine learning techniques, to predict foam flood performance which will thereby aid in optimization of laboratory core-flood experiments. This work is based upon consumption of large set of existing...

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