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Keywords: artificial intelligence
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Proceedings Papers

Paper presented at the SPE Eastern Regional Meeting, October 3–5, 2023
Paper Number: SPE-215920-MS
... friction reducer clastic rock fracturing fluid rock type artificial intelligence machine learning fr concentration workflow algorithm dataset hydraulic fracturing fluid optimization stage 1 efficiency accuracy proppant shale gas mudstone prediction validation operation application...
Proceedings Papers

Paper presented at the SPE Eastern Regional Meeting, October 3–5, 2023
Paper Number: SPE-215927-MS
... reservoir geomechanics united states government artificial intelligence fracture characterization complex reservoir reservoir characterization decoder workflow variance vector realization dimension parameterization spe annual technical conference geology hydraulic fracturing machine learning...
Proceedings Papers

Paper presented at the SPE Eastern Regional Meeting, October 3–5, 2023
Paper Number: SPE-215917-MS
... petroleum engineer better decision bayesian inference information machine learning gas production estimation knowledge uncertainty mudrock artificial intelligence production control scenario application predictor early development stage prediction shale gas production monitoring reservoir...
Proceedings Papers

Paper presented at the SPE Eastern Regional Meeting, October 3–5, 2023
Paper Number: SPE-215911-MS
... sedimentary rock clastic rock upstream oil & gas unconventional resource economics united states government rock type mudrock complex reservoir artificial intelligence shale oil production monitoring production control index energy economics algarhy reservoir quality index petroleum...
Proceedings Papers

Paper presented at the SPE Eastern Regional Meeting, October 3–5, 2023
Paper Number: SPE-215912-MS
... artificial intelligence mudstone mip-3h geologist geological subdiscipline sedimentary rock unconventional play directional drilling poisson well logging reservoir characterization prediction neuron coefficient correlation geology complex reservoir shale gas play log analysis machine...
Proceedings Papers

Paper presented at the SPE Eastern Regional Meeting, October 3–5, 2023
Paper Number: SPE-215913-MS
... geologist fracture united states government rock type artificial intelligence geological subdiscipline fiber west virginia mudrock petroleum play type reservoir characterization correlation interaction geology mineral shale gas play mudstone gohfer marcellus shale fracture...
Proceedings Papers

Paper presented at the SPE Eastern Regional Meeting, October 18–20, 2022
Paper Number: SPE-211876-MS
... features is particularly useful to optimize the dynamic deployment of CCS projects. SimCCS 3.0 is available for public use via GitHub. midstream oil & gas upstream oil & gas subsurface storage climate change united states government artificial intelligence simccs 3 north america...
Proceedings Papers

Paper presented at the SPE Eastern Regional Meeting, October 18–20, 2022
Paper Number: SPE-211880-MS
... design and wellbore operation optimization. casing and cementing fatigue failure prediction kernel machine learning upstream oil & gas cement sheath support vector machine geometry conference dataset experiment artificial intelligence hyperplane cement sheath fatigue failure...
Proceedings Papers

Paper presented at the SPE Eastern Regional Meeting, November 2–3, 2021
Paper Number: SPE-201786-MS
... dynamic behavior and more complex model are required . Model training and deployment Figure 3 Principal component colored by decision variable. From left to right Total proppant, Stimulated Lateral Length, Number of Stages. Abstract The application of Artificial Intelligence...
Proceedings Papers

Paper presented at the SPE Eastern Regional Meeting, November 2–3, 2021
Paper Number: SPE-201808-MS
... established tight oil plays that will underpin planned activities at a Field Laboratory Test Site in the southern Powder River Basin. energy economics core analysis reservoir characterization artificial intelligence wellbore integrity us government hydraulic fracturing directional drilling...
Proceedings Papers

Paper presented at the SPE Eastern Regional Meeting, October 15–17, 2019
Paper Number: SPE-196576-MS
... the estimates to the data. production forecasting diagnostic plot artificial intelligence data distribution inverse problem production data machine learning upstream oil & gas information regularization confidence interval standard deviation arp decline parameter probability distribution...
Proceedings Papers

Paper presented at the SPE Eastern Regional Meeting, October 15–17, 2019
Paper Number: SPE-196592-MS
... horizontal wells over the past few decades. The purpose is to apprise the industry and academic researchers on the various AL optimization approaches that have been used and suggest AL optimization areas where new technologies can be developed. Artificial Intelligence Upstream Oil & Gas...
Proceedings Papers

Paper presented at the SPE Eastern Regional Meeting, October 15–17, 2019
Paper Number: SPE-196577-MS
... shale gas development process, which might not be the real case. In this paper, instead of using numerical simulation model, artificial intelligence and data mining techniques are implemented to study the controlling factors of shale gas production and understand the impacts of reservoir, completion...
Proceedings Papers

Paper presented at the SPE Eastern Regional Meeting, October 15–17, 2019
Paper Number: SPE-196613-MS
... and numerical simulation outputs to develop proxy models that improve sweet-spot analysis and production estimates in unconventional reservoirs. machine learning regression support vector machine upstream oil & gas natural fracture artificial intelligence coefficient fracture treatment...
Proceedings Papers

Paper presented at the SPE Eastern Regional Meeting, October 15–17, 2019
Paper Number: SPE-196608-MS
... to predict the cumulative gas production in 24 months. This manuscript demonstrated the application of artificial intelligence in simulating hydraulic fracturing design. This paper was selected for presentation by an SPE program committee following review of information contained in an abstract...
Proceedings Papers

Paper presented at the SPE Eastern Regional Meeting, October 15–17, 2019
Paper Number: SPE-196572-MS
... learning artificial intelligence neural network model neutron porosity actual poisson brittleness poisson ratio geomechanical property well logging relation society of petroleum engineers well 1 well 2 gradient Introduction In selecting subsurface intervals as candidates for hydraulic...
Proceedings Papers

Paper presented at the SPE Eastern Regional Meeting, October 15–17, 2019
Paper Number: SPE-196595-MS
... best practices to evaluate and predict refrac performance to de-risk refrac as a field re-development strategy. shale oil artificial intelligence machine learning complex reservoir refrac kpis shale play re-fracturing unconventional resource economics correlation hydraulic fracturing...
Proceedings Papers

Paper presented at the SPE Eastern Regional Meeting, October 15–17, 2019
Paper Number: SPE-196614-MS
... heterogeneous simulation water cut assumption ntg different value artificial intelligence upstream oil & gas heterogeneity porosity effective permeability permeability ntg value spatial correlation equation Introduction Net-to-Gross (NTG) is a way to account for rock within a reservoir...

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