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Keywords: Artificial Intelligence
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Proceedings Papers

Paper presented at the SPE Eastern Regional Meeting, October 15–17, 2019
Paper Number: SPE-196589-MS
... phase compositions and densities. Compared to bulk phase diffusivity, the effective diffusion coefficient in a porous shale rock is reduce by 10 2 to 10 4 times as porosity decreases from 0.1 to 0.03. complex reservoir liquid phase co 2 Artificial Intelligence critical property shift...
Proceedings Papers

Paper presented at the SPE Eastern Regional Meeting, October 15–17, 2019
Paper Number: SPE-196584-MS
... logging hydraulic fracturing production enhancement traditional method drilling operation tractor artificial intelligence coiled tubing operations upstream oil & gas zone 2 wireline tractor composite plug milling composite polymer workover rig plug total time frac plug milling tool...
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 In selecting subsurface intervals as candidates for hydraulic fracturing...
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-196576-MS
... calibrating 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...
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-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-196613-MS
... field legacy data 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...
Proceedings Papers

Paper presented at the SPE Eastern Regional Meeting, October 15–17, 2019
Paper Number: SPE-196608-MS
... predictions on well production. artificial intelligence neural network shale gas reservoir shale gas upstream oil & gas numerical simulation database cumulative gas production machine learning complex reservoir simulation mohaghegh spe reservoir scenario hydraulic fracturing neural...
Proceedings Papers

Paper presented at the SPE Eastern Regional Meeting, October 15–17, 2019
Paper Number: SPE-196597-MS
... provided to achieve the required Q for any increase in YP/PV. machine learning drilling fluid chemistry well control wellbore pressure management annular pressure drilling pearson correlation particle turbulent flow data mining artificial intelligence drilling fluids and materials plastic...
Proceedings Papers

Paper presented at the SPE Eastern Regional Meeting, October 15–17, 2019
Paper Number: SPE-196598-MS
... unconventional reservoir matrix form machine learning Upstream Oil & Gas deconvolution pressure response pressure map matrix permeability Artificial Intelligence Simulation training feature flow regime pressure drawdown leesn deconvolved response reservoir property noise permeability...
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 Net-to-Gross (NTG) is a way to account for rock within a reservoir which is not...
Proceedings Papers

Paper presented at the SPE Eastern Regional Meeting, October 15–17, 2019
Paper Number: SPE-196602-MS
... Northeast. re-fracturing pricing shale gas upstream oil & gas gas well artificial intelligence complex reservoir taleghani 2016 hydraulic fracturing oil well production rate appalachian basin cumulative probability distribution economic analysis fracture undiscounted npv re...
Proceedings Papers

Paper presented at the SPE/AAPG Eastern Regional Meeting, October 7–11, 2018
Paper Number: SPE-191823-18ERM-MS
... operations and handling of extremely large data bases, hence, facilitating tough decision-making processes. machine learning google patent node Artificial Intelligence Exhibition algorithm prediction probability neural network dataset information operation decision tree automation...
Proceedings Papers

Paper presented at the SPE/AAPG Eastern Regional Meeting, October 7–11, 2018
Paper Number: SPE-191827-18ERM-MS
... Southwestern Pennsylvania region of the Marcellus Shale. By means of artificial intelligence and data mining techniques, we studied a database that includes public data from more than 2,000 wells producing from the aforementioned study area. The database contained completion, drilling, and production history...
Proceedings Papers

Paper presented at the SPE/AAPG Eastern Regional Meeting, October 7–11, 2018
Paper Number: SPE-191798-18ERM-MS
... of high rate, high sand concentration, and reduced fluid volumes while enabling reliable field execution. formation damage rock-fluid incompatibility chemical treatment Artificial Intelligence hydraulic fracturing Upstream Oil & Gas Production Chemistry rock/fluid interaction...
Proceedings Papers

Paper presented at the SPE/AAPG Eastern Regional Meeting, October 7–11, 2018
Paper Number: SPE-191779-18ERM-MS
... management field development optimization and planning Simulation optimization problem fracture half-length multiplier Artificial Intelligence complex reservoir machine learning completion design optimization economic analysis workflow fracture half-length completion design hydraulic fracturing...
Proceedings Papers

Paper presented at the SPE/AAPG Eastern Regional Meeting, October 7–11, 2018
Paper Number: SPE-191785-18ERM-MS
... modeling machine learning Upstream Oil & Gas bottomhole gauge data child well fracture proppant Drillstem Testing communication marcellus well parent well Artificial Intelligence drillstem/well testing frac stage statistical analysis roc curve Completion Operation frac production...
Proceedings Papers

Paper presented at the SPE/AAPG Eastern Regional Meeting, October 7–11, 2018
Paper Number: SPE-191788-18ERM-MS
... learning Artificial Intelligence Upstream Oil & Gas gnl Reservoir Surveillance complex reservoir forecasting accuracy production monitoring shale gas regression training data procedure autocorrelation production history ARMA model decline curve model production control production...
Proceedings Papers

Paper presented at the SPE/AAPG Eastern Regional Meeting, October 7–11, 2018
Paper Number: SPE-191780-18ERM-MS
... mode wellbore Directional Drilling mechanical loading BHA model Artificial Intelligence Upstream Oil & Gas BHA calculation inclination vibration excitation assembly RPM bit selection bit design drilling data acquisition drillstring dynamics directional drilling systems and...

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