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Keywords: machine learning
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Proceedings Papers

Paper presented at the SPE Western Regional Meeting, May 22–25, 2023
Paper Number: SPE-212975-MS
... algorithm prediction machine learning noise realization sequestration reynolds forecasting risk forecasting co 2 geologic co 2 spatial data assimilation national risk assessment partnership Introduction Data assimilation is also called history matching or inverse modeling in different...
Proceedings Papers

Paper presented at the SPE Western Regional Meeting, May 22–25, 2023
Paper Number: SPE-212948-MS
... fit for their specific operations. upstream oil & gas asia government production enhancement geology well intervention geologist united states government downhole intervention machine learning genetic algorithm optimization rig operation consideration rig schedule route...
Proceedings Papers

Paper presented at the SPE Western Regional Meeting, May 22–25, 2023
Paper Number: SPE-212994-MS
..., the development of machine learning algorithms has significantly improved the accuracy and computational speed of prediction. In this work, we conducted a comparative machine learning algorithm study to effectively forecast the maximum CO 2 adsorption capacity and CO 2 /CH 4 competitive adsorption ratios. Four...
Proceedings Papers

Paper presented at the SPE Western Regional Meeting, May 22–25, 2023
Paper Number: SPE-213036-MS
... and engineering applications. In this project, a trial was accomplished through a Machine Learning (ML) approach using several modules of Artificial Intelligent including ANFIS and ANN to examine and build a permeability prediction model based on nine (9) well-logging parameters taken from well-logging data...
Proceedings Papers

Paper presented at the SPE Western Regional Meeting, May 22–25, 2023
Paper Number: SPE-212962-MS
... & gas neural network data mining artificial intelligence prediction geology complex reservoir machine learning forecasting dynamic physics-guided deep learning dataset residual correction synthetic dataset mechanism mohd razak unconventional reservoir geological subdiscipline...
Proceedings Papers

Paper presented at the SPE Western Regional Meeting, May 22–25, 2023
Paper Number: SPE-213038-MS
... results. In this research, we present a novel approach – machine learning (ML) assisted proxy model that combines reservoir simulations and reduced physics model to reduce computational cost. In the proposed model framework, first several (depending on the complexity of the problem) uniformly distributed...
Proceedings Papers

Paper presented at the SPE Western Regional Meeting, May 22–25, 2023
Paper Number: SPE-213004-MS
... governing equations underlying fluid flow in unconventionals, simply from production and pressure data, leveraging advances in sparsity techniques and machine learning. The method utilizes a library of data-driven functions along with information from standard flow-regime equations that form the basis...
Proceedings Papers

Paper presented at the SPE Western Regional Meeting, May 22–25, 2023
Paper Number: SPE-213050-MS
... conspicuous acknowledgment of SPE copyright. References References Allen , Andrew . ( 2020 ). Combining Machine Learning and Empirical Engineering Methods Towards Improving Oil Production Forecasting . Cathy Maugis , Gilles Celeux , and Marie-Laure Martin-Magniette . Variable...
Proceedings Papers

Paper presented at the SPE Western Regional Meeting, May 22–25, 2023
Paper Number: SPE-212964-MS
... limits. In contrast, machine learning models can be considered as a black box. The objective of this study is to use machine learning models to find the relationship between the multiple factors mentioned above and particle settling velocity in order to correctly predict it. Two of the most popular...
Proceedings Papers

Paper presented at the SPE Western Regional Meeting, May 22–25, 2023
Paper Number: SPE-213040-MS
... production and increase life of lift equipment. fluid dynamics upstream oil & gas united states government geologist geology drillstem/well testing pvt measurement production forecasting reservoir surveillance machine learning gas injection artificial intelligence production control...
Proceedings Papers

Paper presented at the SPE Western Regional Meeting, May 22–25, 2023
Paper Number: SPE-212957-MS
... accuracy random forest bachu upstream oil & gas casing design air emission information management canada government geology journal completion installation and operations alberta machine learning integrity algorithm evaluation metric classifier uncertainty risk evaluation tool...
Proceedings Papers

Paper presented at the SPE Western Regional Meeting, May 22–25, 2023
Paper Number: SPE-213037-MS
... upstream oil & gas optimization problem enhanced recovery machine learning asia government optimization evolutionary algorithm waterflooding artificial intelligence chemical flooding methods injection multi-objective optimization efficiency polymer flooding constraint particle swarm...
Proceedings Papers

Paper presented at the SPE Western Regional Meeting, May 22–25, 2023
Paper Number: SPE-212953-MS
... reservoir surveillance mudstone dataset unconventional reservoir improved production prediction society representation prediction unconventional resource technology conference deep learning rock type production monitoring machine learning petroleum engineer subset physics Introduction...
Proceedings Papers

Paper presented at the SPE Western Regional Meeting, May 22–25, 2023
Paper Number: SPE-213022-MS
... and portfolio management artificial intelligence machine learning artificial lift system simulator constraint application reservoir node calculation simulator optimization united states government multiphase flow optimization subnetwork algorithm separator node comparison admm algorithm gas...
Proceedings Papers

Paper presented at the SPE Western Regional Meeting, May 22–25, 2023
Paper Number: SPE-212967-MS
.... Because of the high uncertainty associated with numerical modeling input parameters, modeling is not necessarily an accurate predictor of future performance for a specific well or even an entire field. The evolution of machine learning algorithms has shown that data-driven models can make decisions based...
Proceedings Papers

Paper presented at the SPE Western Regional Meeting, May 22–25, 2023
Paper Number: SPE-212950-MS
... characterization bitumen oil sand geological subdiscipline structural geology directional drilling risk and uncertainty assessment artificial intelligence reservoir geomechanics enhanced recovery machine learning injection lateral injector matrix bypass event north slope lateral economic geology...
Proceedings Papers

Paper presented at the SPE Western Regional Meeting, May 22–25, 2023
Paper Number: SPE-212952-MS
... Abstract The objective of this paper is to present a framework that applies machine learning to reservoir characterization. Machine learning applications in the oil and gas industry is rapidly becoming popular and in recent years has been utilized for the characterization of various reservoirs...
Proceedings Papers

Paper presented at the SPE Western Regional Meeting, May 22–25, 2023
Paper Number: SPE-212987-MS
... testing geology directional drilling upstream oil & gas drilling operation hydraulic fracturing artificial intelligence pressure transient analysis pad 2 hydraulic fracture conductivity workflow geological subdiscipline operator correlation pad 3 reservoir geomechanics fba machine...
Proceedings Papers

Paper presented at the SPE Western Regional Meeting, April 26–28, 2022
Paper Number: SPE-209255-MS
... From the perspective of machine learning, there are many anomaly detection and prediction analysis methods for high-dimensional data. These methods focus on statistics and analysis of data in the actual production process from the perspective of big data analysis, while ignoring its physical...

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