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Keywords: Artificial Intelligence
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Proceedings Papers

Paper presented at the SPE Western Regional Meeting, April 20–22, 2021
Paper Number: SPE-200825-MS
... learning reservoir surveillance artificial intelligence beam pumping production monitoring upstream oil & gas dynamometer card descriptor analytic solution contour gas interference production control neural network accuracy artificial neural network algorithm application pump state...
Proceedings Papers

Paper presented at the SPE Western Regional Meeting, April 20–22, 2021
Paper Number: SPE-200771-MS
... characterization artificial intelligence hydraulic fracturing pressure transient testing drillstem testing reservoir simulation sustainability petroleum engineering engineering discipline engineer drillstem/well testing petroleum engineering education future need engineering co 2 field development...
Proceedings Papers

Paper presented at the SPE Western Regional Meeting, April 20–22, 2021
Paper Number: SPE-200826-MS
... intervention upstream oil & gas flow rate production control data mining reservoir surveillance completion installation and operations drilling operation sand production machine learning downhole sensor enhanced recovery artificial intelligence hydraulic fracturing production monitoring...
Proceedings Papers

Paper presented at the SPE Western Regional Meeting, April 20–22, 2021
Paper Number: SPE-200864-MS
... Abstract Several oil and gas industry applications of artificial intelligence have been presented in the last decade. Machine learning techniques take center stage in most presentations. Prior to performing the actual modeling in data analytic project, the first three steps in the data analytic...
Proceedings Papers

Paper presented at the SPE Western Regional Meeting, April 20–22, 2021
Paper Number: SPE-200879-MS
... (or power coefficient) demonstrate Normal distribution. Peak production rate (maximum average daily rate), terminal rate (rate after switch point), and the time of terminal rate occurrence, all demonstrate Log Normal distribution. production control machine learning shale gas artificial...
Proceedings Papers

Paper presented at the SPE Western Regional Meeting, April 20–22, 2021
Paper Number: SPE-200876-MS
... rate oil shale boundary transition point transformation machine learning artificial intelligence delaware basin unconventional reservoir production forecasting upstream oil & gas loving county production behavior dataset The model showcases high predictability, increasing...
Proceedings Papers

Paper presented at the SPE Western Regional Meeting, April 20–22, 2021
Paper Number: SPE-200881-MS
... & disposal drilling operation optimization problem machine learning artificial intelligence upstream oil & gas caribbean petroleum engineering conference bit wear presented optimization rop model rop evolutionary algorithm drilling fluids and materials constraint fast drilling optimizer...
Proceedings Papers

Paper presented at the SPE Western Regional Meeting, April 20–22, 2021
Paper Number: SPE-200853-MS
..., machine learning, data science, and artificial intelligence methods are becoming increasingly common in petroleum engineering science. Much of the work at the interface of machine learning and EOR has focused on building proxy models to predict performance of EOR methods using reservoir properties...
Proceedings Papers

Paper presented at the SPE Western Regional Meeting, April 20–22, 2021
Paper Number: SPE-200835-MS
... historical production data available. production control artificial intelligence upstream oil & gas input data data analytics production monitoring fuzzy logic correlation workflow algorithm reservoir characterization reservoir surveillance neural network completion size application...
Proceedings Papers

Paper presented at the SPE Western Regional Meeting, April 20–22, 2021
Paper Number: SPE-200766-MS
... will discuss how the GAIN model can quickly provide the data necessary for analytical studies and prediction of results for future projects. artificial intelligence imputation experiment upstream oil & gas prediction mice machine learning accuracy missing data generative adversarial...
Proceedings Papers

Paper presented at the SPE Western Regional Meeting, April 20–22, 2021
Paper Number: SPE-200846-MS
... or better results with lower running times can be achieved without using complex algorithms. reservoir characterization machine learning artificial intelligence hydraulic fracturing upstream oil & gas bd flag wellbore integrity wellbore design approach use breakdown pressure event output...
Proceedings Papers

Paper presented at the SPE Western Regional Meeting, April 20–22, 2021
Paper Number: SPE-200870-MS
... artificial intelligence surface wob downhole data prediction sequence petroleum engineer lstm network Advancements in real-time monitoring, control, and automation have made drilling operations more efficient ( Rassenfoss 2011 ). Real-time drilling data can also be used to diagnose hole cleaning...
Proceedings Papers

Paper presented at the SPE Western Regional Meeting, April 20–22, 2021
Paper Number: SPE-200844-MS
... well control risk management artificial intelligence drilling fluids and materials remedy iraq alkinani complete loss hilgedick upstream oil & gas complete loss treatment severe loss annular pressure drilling rumaila field dunn-norman loss treatment petroleum engineer decision tree...
Proceedings Papers

Paper presented at the SPE Western Regional Meeting, April 20–22, 2021
Paper Number: SPE-200831-MS
... concentration design type reservoir characterization artificial intelligence complex reservoir criterion treatment design vcr bulk gel treatment vcr approach enhanced recovery flow in porous media upstream oil & gas gel treatment formation type vcr interval gel strength petroleum engineer...
Proceedings Papers

Paper presented at the SPE Western Regional Meeting, April 20–22, 2021
Paper Number: SPE-205369-MS
... properties. This paper is innovative in comparison of analytical models and simulation modeling.Results that quantify differences of oil rate, SOR, and injection rates (Neuman and Jeff Jones) impact on recovery factors is presented. sagd jeff jones modified neuman artificial intelligence upstream...
Proceedings Papers

Paper presented at the SPE Western Regional Meeting, April 20–22, 2021
Paper Number: SPE-200874-MS
... of the ignition criterion. The novelty of this work is the description of optimized combustion reaction models with rigorous experimental verification and uncertainty quantification for reactive transport simulations. enhanced recovery optimization problem artificial intelligence complex reservoir oil...
Proceedings Papers

Paper presented at the SPE Western Regional Meeting, April 20–22, 2021
Paper Number: SPE-200779-MS
... and other artificial intelligence (AI) methods as well as the potential application in the petroleum industry, these methodologies can revolutionize the industry and save time and money. neural network equivalent liquid permeability flow in porous media fluid dynamics machine learning deep...
Proceedings Papers

Paper presented at the SPE Western Regional Meeting, April 20–22, 2021
Paper Number: SPE-200827-MS
... to boron desorption. enhanced recovery modeling & simulation wax remediation hydrate remediation paraffin remediation artificial intelligence production chemistry asphaltene remediation asphaltene inhibition boron adsorption boron concentration oilfield chemistry reservoir simulation...
Proceedings Papers

Paper presented at the SPE Western Regional Meeting, April 20–22, 2021
Paper Number: SPE-200805-MS
... reservoirs (i.e., rarefaction effect, multilayer adsorption, surface diffusion and confinement effect) but also simplifies non-linear physical terms using semi-empirical linear correlations to facilitate AP calculations in core-scale simulations. shale gas upstream oil & gas artificial...
Proceedings Papers

Paper presented at the SPE Western Regional Meeting, April 20–22, 2021
Paper Number: SPE-200812-MS
... recovery performance. It has been found that the polymer concentration, surfactant concentration and slug size of SP flooding have a significant impact on oil recovery, and these parameters need to be optimized to achieve the maximum economic benefit. artificial intelligence upstream oil & gas...

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