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Keywords: machine learning
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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-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-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-USA, April 10–12, 2013
Paper Number: SPE-164542-MS
..., and thus, is expected to help in the economic development of complex tight oil reservoirs. neural network seismic data Reservoir Characterization Upstream Oil & Gas machine learning structural geology oil production expert system information cumulative oil production artificial neural...
Proceedings Papers

Paper presented at the SPE Unconventional Resources Conference-USA, April 10–12, 2013
Paper Number: SPE-164544-MS
... Characterization material property containment volumetric distribution reference model completion quality Upstream Oil & Gas heterogeneity rock class heterogeneous earth model textural complexity machine learning classification variability representation seismic cube texture propagation...
Proceedings Papers

Paper presented at the North American Unconventional Gas Conference and Exhibition, June 14–16, 2011
Paper Number: SPE-143330-MS
... the impact of perforation spacing on stimulated reservoir volume in principally isotropic shale such as Barnett. This paper will extend that concept toward creating an optimized design. completion installation and operations concentration net pressure machine learning neural network frac treatment...
Proceedings Papers

Paper presented at the North American Unconventional Gas Conference and Exhibition, June 14–16, 2011
Paper Number: SPE-143666-MS
..., this study exploits large databases to obtain parameter distributions from well groups, which exhibit similar decline behavior, thereby avoiding the use of synthetic datasets. artificial intelligence reserves evaluation kabir production forecasting sepd parameter machine learning upstream oil...
Proceedings Papers

Paper presented at the North American Unconventional Gas Conference and Exhibition, June 14–16, 2011
Paper Number: SPE-144062-MS
... geochemical logs that is consistent with both core and vendor deliverables. Interpretation of NMR data remains an elusive opportunity requiring mostly unknown formation-specific evaluation parameters. machine learning upstream oil & gas total porosity haynesville well well logging vendor 2...
Proceedings Papers

Paper presented at the North American Unconventional Gas Conference and Exhibition, June 14–16, 2011
Paper Number: SPE-144120-MS
... concentration fracturing materials proppant geographic location perforation cluster completion methodology conductivity treatment stage operator fracture exhibition haynesville shale spe 144120 machine learning hydraulic fracturing upstream oil & gas stimulation proppant concentration...
Proceedings Papers

Paper presented at the North American Unconventional Gas Conference and Exhibition, June 14–16, 2011
Paper Number: SPE-144032-MS
... production index with below average completion index proved to be better candidates in terms of economic payout. machine learning hydraulic fracturing pattern recognition shale gas artificial intelligence well intervention production enhancement completion index upstream oil & gas...
Proceedings Papers

Paper presented at the North American Unconventional Gas Conference and Exhibition, June 14–16, 2011
Paper Number: SPE-144383-MS
... solution economic model machine learning upstream oil & gas well count reserve estimation probabilistic method geologic analog cumulative frequency plot resource play producible reserve production statistics reasonable certainty correlation project area pdp well society of petroleum...
Proceedings Papers

Paper presented at the North American Unconventional Gas Conference and Exhibition, June 14–16, 2011
Paper Number: SPE-144333-MS
... completion proppant concentration production indicator gas rate mcf month well machine learning drilling operation lateral length day well texas panhandle oil rate gas best 3 spe 144333 oil best 3 western oklahoma Introduction The Granite Wash formation is a large tight-gas series...
Proceedings Papers

Paper presented at the Tight Gas Completions Conference, November 2–3, 2010
Paper Number: SPE-138423-MS
... histories are presented to demonstrate usefulness and document value. spe 138423 hydraulically fractured horizontal completion machine learning compartment completion frac methodology sensitivity production potential upstream oil & gas reservoir quality hydraulic fracturing drilling...
Proceedings Papers

Paper presented at the SPE Unconventional Gas Conference, February 23–25, 2010
Paper Number: SPE-131768-MS
... accurate and quantitative in the future. toc devonian shale shale gas mineralogy artificial intelligence permeability luffel spe 131768 machine learning upstream oil & gas sondergeld rai spe 131768 log analysis well logging lab 2 saturation porosity measurement complex reservoir...
Proceedings Papers

Paper presented at the CIPC/SPE Gas Technology Symposium 2008 Joint Conference, June 16–19, 2008
Paper Number: SPE-114454-MS
... can be considered an alternative method to estimate the dew point pressure when the experimentally measurement is not available. evolutionary algorithm PVT measurement condensate reservoir machine learning complex reservoir Artificial Intelligence correlation reservoir temperature dpp...
Proceedings Papers

Paper presented at the SPE Unconventional Reservoirs Conference, February 10–12, 2008
Paper Number: SPE-114160-MS
... Intelligence Upstream Oil & Gas information asset and portfolio management analog machine learning reserves classification category reserves replacement reserves evaluation variance hydrocarbon accumulation Cogeh unconventional accumulation requirement PRM accumulation disclosure...
Proceedings Papers

Paper presented at the SPE Gas Technology Symposium, May 15–17, 2006
Paper Number: SPE-100575-MS
... analysis Bayesian Inference Material Balance Method likelihood distribution reserves evaluation posterior distribution machine learning reservoir simulation maximum value information volumetric analysis posterior standard deviation covariance matrix aquifer Standard Deviation composite plot...

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