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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-168982-MS
..., is a function of the rate at which water leaves the hydraulic fractures. β can be obtained by history matching flow back production data. Fig . 6 shows the linear approximation of the DRP model for 2 wells drilled in the Muskwa formation. hydraulic fracturing Artificial Intelligence shale gas early...
Proceedings Papers

Paper presented at the SPE Unconventional Resources Conference, April 1–3, 2014
Paper Number: SPE-168972-MS
... optimization problem constraint progressive simulation Artificial Intelligence reserves evaluation delineation Simulation hydrocarbon recovery strategic delineation correction critical decision Reservoir Characterization asset and portfolio management ahrp formula infrastructure porosity...
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-168992-MS
... residual oil saturation rock type Earth Model carbonate Upstream Oil & Gas porosity geologic model petrophysical rock type connate water saturation production data cross-section unconventional resource technology conference artificial intelligence Introduction Tight formations...
Proceedings Papers

Paper presented at the SPE Unconventional Resources Conference, April 1–3, 2014
Paper Number: SPE-168997-MS
... Artificial Intelligence calculation simulator reservoir performance assessment equation Sensitivity Study unconventional reservoir wellbore permeability hydraulic fracturing diffusive time Introduction Unconventional resources such as shale gas provide a significant share of the energy...
Proceedings Papers

Paper presented at the SPE Unconventional Resources Conference, April 1–3, 2014
Paper Number: SPE-168973-MS
..., and development drilling plans updated to reflect the optimal well spacing for each lease. machine learning complex reservoir hydraulic fracturing Simulation Thickness shale gas modeling History conductivity fracture porosity completion design fracture geometry Artificial Intelligence Upstream...
Proceedings Papers

Paper presented at the SPE Unconventional Resources Conference, April 1–3, 2014
Paper Number: SPE-168978-MS
.... This also could be a beneficial tool to use in scoping studies where high-level, rapid evaluation is required. machine learning well performance drilling operation Directional Drilling Artificial Intelligence Monte Carlo simulation lateral length correlation variance coefficient distribution...
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 analog sector...
Proceedings Papers

Paper presented at the SPE Unconventional Resources Conference, April 1–3, 2014
Paper Number: SPE-168998-MS
.... Reservoir Characterization flow in porous media waterflooding Artificial Intelligence Brine osmosis Efficiency pore Fluid Dynamics salt concentration enhanced recovery Upstream Oil & Gas concentration membrane matrix society of petroleum engineers oil recovery experiment low-salinity...
Proceedings Papers

Paper presented at the SPE Unconventional Resources Conference, April 1–3, 2014
Paper Number: SPE-168979-MS
... 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 kurtoglu Introduction The Bakken petroleum system is one...
Proceedings Papers

Paper presented at the SPE Unconventional Resources Conference, April 1–3, 2014
Paper Number: SPE-168994-MS
... Artificial Intelligence Reservoir Characterization Thickness study area middle Bakken statistical analysis relative acoustic impedance productivity machine learning seismic resolution correlation coefficient cumulative production Upstream Oil & Gas production data statistics...
Proceedings Papers

Paper presented at the SPE Unconventional Resources Conference, April 1–3, 2014
Paper Number: SPE-169008-MS
... gas Upstream Oil & Gas Phase Behavior contribution pore proximity effect artificial intelligence pore size critical property shale oil oil shale Introduction The behavior of hydrocarbon gases and liquids confined in shale nanopores continues to be a topic of active research...
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-169011-MS
... 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 fracturing calculation flow calculation...
Proceedings Papers

Paper presented at the SPE Unconventional Resources Conference, April 1–3, 2014
Paper Number: SPE-169013-MS
... are provided, such as what would typically be available in practice. Since the "answer key" is available, this study allows us to objectively evaluate and optimize production data analysis best practices. Artificial Intelligence Upstream Oil & Gas deterministic approach flow in porous media...
Proceedings Papers

Paper presented at the SPE Unconventional Resources Conference, April 1–3, 2014
Paper Number: SPE-169015-MS
... in. Predictions of proppant spreading in Barnett shale well 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...
Proceedings Papers

Paper presented at the SPE Unconventional Resources Conference-USA, April 10–12, 2013
Paper Number: SPE-164532-MS
... 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 coal equation clarkson adsorption model...
Proceedings Papers

Paper presented at the SPE Unconventional Resources Conference-USA, April 10–12, 2013
Paper Number: SPE-164542-MS
... structural geology oil production expert system information cumulative oil production artificial neural network unconventional resource reservoir oil reservoir tight oil reservoir spe 164542 Pennsylvania State University Artificial Intelligence cumulative production forecasting well performance...
Proceedings Papers

Paper presented at the SPE Unconventional Resources Conference-USA, April 10–12, 2013
Paper Number: SPE-164544-MS
... of variability in reservoir quality and completion quality, and better assessment of the opportunities and problems for exploration and long-term field development. This has already resulted in successful application by an operator in the Haynesville/Bossier formations in NW Louisiana, USA. Artificial...
Proceedings Papers

Paper presented at the SPE Americas Unconventional Resources Conference, June 5–7, 2012
Paper Number: SPE-155037-MS
... formation conditions. The method enables a rapid appraisal of pressure measurements in comparison to conventional testing. Simulations also indicate that the analytical spherical model can be used to analyze a pulse test, even when encountering multi-phase compositional fluid effects. artificial...

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