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Keywords: machine learning
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Proceedings Papers

Paper presented at the SPE Eastern Regional Meeting, October 3–5, 2023
Paper Number: SPE-215920-MS
... Machine Learning (ML) techniques. This study was conducted in three phases, employing a range of machine learning techniques to develop the optimal model for predicting surface treating pressure during hydraulic fracturing and use that to optimize the FR concentration. In phase 1, utilizing data from...
Proceedings Papers

Paper presented at the SPE Eastern Regional Meeting, October 3–5, 2023
Paper Number: SPE-215917-MS
... 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 characterization development stage bayesian...
Proceedings Papers

Paper presented at the SPE Eastern Regional Meeting, October 3–5, 2023
Paper Number: SPE-215912-MS
... drilling poisson well logging reservoir characterization prediction neuron coefficient correlation geology complex reservoir shale gas play log analysis machine learning young marcellus shale horizontal well dtst stoneley stiffness coefficient slowness correlation coefficient table 2...
Proceedings Papers

Paper presented at the SPE Eastern Regional Meeting, October 18–20, 2022
Paper Number: SPE-211880-MS
... based method to predict cement fatigue failure under cyclic changing pressure and temperature. The result will be instructive for the cement design and wellbore operation optimization. casing and cementing fatigue failure prediction kernel machine learning upstream oil & gas cement sheath...
Proceedings Papers

Paper presented at the SPE Eastern Regional Meeting, November 2–3, 2021
Paper Number: SPE-201786-MS
... in the past few years, particularly for the increased production efficiency requirements and environmental standards. The objective of this paper is to show the successful integration of production, completion, subsurface and spatial data using machine-learning algorithms to predict production performance...
Proceedings Papers

Paper presented at the SPE Eastern Regional Meeting, November 2–3, 2021
Paper Number: SPE-201808-MS
... intelligence wellbore integrity us government hydraulic fracturing directional drilling drilling operation machine learning fracturing materials shale gas complex reservoir oil shale knowledge management structural geology lateral length stage length fracturing fluid unconventional resource...
Proceedings Papers

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

Paper presented at the SPE Eastern Regional Meeting, October 15–17, 2019
Paper Number: SPE-196613-MS
... a significant role in determining the success of hydraulic fracturing treatments. We have also compared the performances of supervised machine learning algorithms in assessing the impact of rock properties on fracturing treatments. Such supervised machine learning algorithms can help integrate field legacy data...
Proceedings Papers

Paper presented at the SPE Eastern Regional Meeting, October 15–17, 2019
Paper Number: SPE-196577-MS
... in a dynamic manner, which could assist reservoir management decisions. complex reservoir artificial intelligence machine learning shale gas upstream oil & gas neural network model kpi analysis spe eastern regional meeting reservoir simulation gas production shale gas production parameter...
Proceedings Papers

Paper presented at the SPE Eastern Regional Meeting, October 15–17, 2019
Paper Number: SPE-196608-MS
... & gas numerical simulation database cumulative gas production machine learning complex reservoir simulation mohaghegh spe reservoir scenario hydraulic fracturing neural network model exhibition application design scenario neural network training result society of petroleum engineers...
Proceedings Papers

Paper presented at the SPE Eastern Regional Meeting, October 15–17, 2019
Paper Number: SPE-196572-MS
... to fracture and for avoiding high injection gradients causing fracture formation during fluid injection processes. We have been successful in using machine learning methods for prediction of geomechanical properties such as the Poisson Ratio and Young Modulus properties from conventional well log data...
Proceedings Papers

Paper presented at the SPE Eastern Regional Meeting, October 15–17, 2019
Paper Number: SPE-196595-MS
... in horizontal shale wells is a well-established practice, a significant amount of analysis on their performance is focused on one or two key variables. The present paper adds to the existing body of literature by using data analytics and machine learning to evaluate this strategy from a truly multivariable...
Proceedings Papers

Paper presented at the SPE Eastern Regional Meeting, October 15–17, 2019
Paper Number: SPE-196598-MS
... analysis neural network pressure transient testing diagnostic plot proceedings Production analysis unconventional reservoir matrix form machine learning Upstream Oil & Gas deconvolution pressure response pressure map matrix permeability Artificial Intelligence Simulation training...
Proceedings Papers

Paper presented at the SPE/AAPG Eastern Regional Meeting, October 7–11, 2018
Paper Number: SPE-191823-18ERM-MS
..., Machine Learning (ML)-assisted industry workflow in the fields of drilling optimization and real time parameter analysis and mitigation is presented. This paper summarizes data analytics case studies, workflows, and lessons learnt that would allow field personnel, engineers, and management to quickly...

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