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Keywords: Artificial Intelligence
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Proceedings Papers

Paper presented at the SPE Unconventional Resources Conference, April 1–3, 2014
Paper Number: SPE-168998-MS
... osmotic pressure mass transport model. The results indicate that osmotic pressure promotes counter-current flow of oil from both the water-wet and oil-wet segments of the core. Reservoir Characterization flow in porous media waterflooding Artificial Intelligence Brine osmosis Efficiency pore...
Proceedings Papers

Paper presented at the SPE Unconventional Resources Conference, April 1–3, 2014
Paper Number: SPE-169015-MS
.... machine learning proppant Palmer frac stage porosity fracture fracturing materials fracturing fluid injection permeability prediction SRV productivity permeability Artificial Intelligence Upstream Oil & Gas correlation shale effective stress hydraulic fracturing microseismic cloud...
Proceedings Papers

Paper presented at the SPE Unconventional Resources Conference, April 1–3, 2014
Paper Number: SPE-168972-MS
.... well logging Upstream Oil & Gas log analysis optimization problem constraint progressive simulation Artificial Intelligence reserves evaluation delineation Simulation hydrocarbon recovery strategic delineation correction critical decision Reservoir Characterization asset...
Proceedings Papers

Paper presented at the SPE Unconventional Resources Conference, April 1–3, 2014
Paper Number: SPE-168967-MS
... in the optimization of hydraulic fracturing design, operations, and production. Artificial Intelligence fracturing materials hydraulic fracturing Upstream Oil & Gas complex reservoir shale gas reservoir gas Well Performance wellbore Simulation society of petroleum engineers porosity slurry flow...
Proceedings Papers

Paper presented at the SPE Unconventional Resources Conference, April 1–3, 2014
Paper Number: SPE-168994-MS
... attributes and seismic attributes plus regional geology attributes. Artificial Intelligence Reservoir Characterization Thickness study area middle Bakken statistical analysis relative acoustic impedance productivity machine learning seismic resolution correlation coefficient cumulative...
Proceedings Papers

Paper presented at the SPE Unconventional Resources Conference, April 1–3, 2014
Paper Number: SPE-168973-MS
... efficiency. machine learning complex reservoir hydraulic fracturing Simulation Thickness shale gas modeling History conductivity fracture porosity completion design fracture geometry Artificial Intelligence Upstream Oil & Gas Eagle Ford shale evaluation horizontal well workflow...
Proceedings Papers

Paper presented at the SPE Unconventional Resources Conference, April 1–3, 2014
Paper Number: SPE-168983-MS
... Artificial Intelligence machine learning Upstream Oil & Gas Thickness reserves evaluation complex reservoir prospective resource shale gas analog sector information eur distribution Eagle Ford shale basin spe annual technical conference assumption gong estimation us-ef...
Proceedings Papers

Paper presented at the SPE Unconventional Resources Conference, April 1–3, 2014
Paper Number: SPE-168979-MS
... formation porosity-permeability model oil production hydraulic fracture fracture chemical flooding methods study area near-wellbore model injection permeability flow in porous media society of petroleum engineers artificial intelligence enhanced oil recovery fluid dynamics machine learning...
Proceedings Papers

Paper presented at the SPE Unconventional Resources Conference, April 1–3, 2014
Paper Number: SPE-168982-MS
... with time. Rate normalized pseudo-pressure versus pseudo-time plots give a straight line when applied to field data, thus the solution can be used to characterize hydraulic fractures in a manner similar to conventional well testing methods. hydraulic fracturing Artificial Intelligence shale gas...
Proceedings Papers

Paper presented at the SPE Unconventional Resources Conference, April 1–3, 2014
Paper Number: SPE-168978-MS
.... machine learning well performance drilling operation Directional Drilling Artificial Intelligence Monte Carlo simulation lateral length correlation variance coefficient distribution completion data Upstream Oil & Gas multivariate regression analysis multiplier fracture stage hydraulic...
Proceedings Papers

Paper presented at the SPE Unconventional Resources Conference, April 1–3, 2014
Paper Number: SPE-168965-MS
... production decline rates. Artificial Intelligence Fluid Dynamics epoxy penetration flow in porous media Pore System experiment reservoir simulation reservoir pressure porosity Reservoir Characterization Upstream Oil & Gas time step reservoir mechanism matrix differential equation...
Proceedings Papers

Paper presented at the SPE Unconventional Resources Conference, April 1–3, 2014
Paper Number: SPE-168992-MS
... cross-section unconventional resource technology conference artificial intelligence Introduction Tight formations in the Midland Basin under active development include Clearfork, Wolfcamp, Spraberry, Strawn, Cline, Atoka, and Mississipian formations, which are usually found between 6000 feet...
Proceedings Papers

Paper presented at the SPE Unconventional Resources Conference, April 1–3, 2014
Paper Number: SPE-169011-MS
... corrections are considered, the cumulative gas production is higher compared with the conventional Darcy flow calculations which impact significantly on fracture and matrix pressure responses and production forecasting. Artificial Intelligence flow in porous media Upstream Oil & Gas hydraulic...
Proceedings Papers

Paper presented at the SPE Unconventional Resources Conference, April 1–3, 2014
Paper Number: SPE-169013-MS
... Artificial Intelligence Upstream Oil & Gas deterministic approach flow in porous media drillstem/well testing rigorous approach answer key production data Drillstem Testing transition time input parameter Production analysis reservoir linear flow SRV production data analysis...
Proceedings Papers

Paper presented at the SPE Unconventional Resources Conference-USA, April 10–12, 2013
Paper Number: SPE-164542-MS
... network unconventional resource reservoir oil reservoir tight oil reservoir spe 164542 Pennsylvania State University Artificial Intelligence cumulative production forecasting well performance production data society of petroleum engineers well log discontinuous tight oil reservoir...
Proceedings Papers

Paper presented at the SPE Unconventional Resources Conference-USA, April 10–12, 2013
Paper Number: SPE-164544-MS
... pressure, which when taken together define the distribution of Reservoir Quality (RQ) across the play ( 3 ) . Furthermore, as self-souced reservoirs, the hydrocarbons present are not independent of the rock they are generated in ( 1 ) . Introduction Artificial Intelligence Reservoir...
Proceedings Papers

Paper presented at the SPE Unconventional Resources Conference-USA, April 10–12, 2013
Paper Number: SPE-164532-MS
... of CO 2 was examined using binary gas adsorption modeling; it was found that CO 2 could reduce heavy hydrocarbon component selectivity which provides a possible mechanism for enhanced recovery. Artificial Intelligence complex reservoir methane free gas composition prediction gas composition...

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