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Keywords: machine learning
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Proceedings Papers

Paper presented at the SPE Permian Basin Oil and Gas Recovery Conference, May 15–17, 2001
Paper Number: SPE-70041-MS
... brushy canyon interval upstream oil & gas machine learning balch artificial intelligence spe 70041 Introduction The Delaware Mountain Group in the Delaware basin of New Mexico consists of a thick (4500 ft) sandstone and siltstone interval with 95% of the sandstone medium to fine-grained...
Proceedings Papers

Paper presented at the SPE Permian Basin Oil and Gas Recovery Conference, March 21–23, 2000
Paper Number: SPE-59555-MS
... degree of accuracy between the real and predicted depths using MLP. control point velocity field nash draw instantaneous phase 0 reservoir property frequency 0 machine learning spe 59555time-to-depth conversion fuzzy curve zmap prediction neural network reservoir characterization...
Proceedings Papers

Paper presented at the SPE Permian Basin Oil and Gas Recovery Conference, March 21–23, 2000
Paper Number: SPE-59554-MS
... cores. upstream oil & gas society of petroleum engineers control data neural network neural network training prediction well logging spe 59554 dagger draw field architecture porosity cc 0 new mexico barbara federal 12 fuzzy curve saguaro federal 8 blind prediction machine...
Proceedings Papers

Paper presented at the SPE Permian Basin Oil and Gas Recovery Conference, March 21–23, 2000
Paper Number: SPE-59553-MS
... rate used as the network inputs. The methodology presented should prove useful to others faced with characterizing old fields. crossplot porosity porosity log analysis machine learning new technique rbf network neutron porosity lld neutron count rate correlation coefficient exclusion...
Proceedings Papers

Paper presented at the SPE Permian Basin Oil and Gas Recovery Conference, March 23–26, 1998
Paper Number: SPE-39814-MS
... machine learning cumulative water production subsea depth log analysis prediction neural network creek field granite wash artificial intelligence 2-month cumulative gas-equivalent production 2-month cumulative water production porosity information upstream oil & gas thickness water...
Proceedings Papers

Paper presented at the SPE Permian Basin Oil and Gas Recovery Conference, March 23–26, 1998
Paper Number: SPE-39805-MS
... reservoir characterization dimensionless time correlation permeability noise artificial intelligence structural geology saturation machine learning drive mechanism net pay nonlinearity 1998. Society of Petroleum Engineers ...
Proceedings Papers

Paper presented at the Permian Basin Oil and Gas Recovery Conference, March 27–29, 1996
Paper Number: SPE-35223-MS
... application demonstration reservoir spe 35223 hn-p process enhanced recovery wellbore injection soak period permeability simulation artificial intelligence production rate co 2 machine learning waterflooding reservoir simulation structural geology drillstem testing drilling operation sagd...
Proceedings Papers

Paper presented at the Permian Basin Oil and Gas Recovery Conference, March 8–9, 1990
Paper Number: SPE-20107-MS
... the future for field use of computer controlled drilling. computer operator machine learning upstream oil & gas field experience instrumentation warren drilling equipment control scheme drilling fluids and materials reliability turbine rig algorithm drilling fluid management...
Proceedings Papers

Paper presented at the Permian Basin Oil and Gas Recovery Conference, March 10–11, 1988
Paper Number: SPE-17289-MS
... reservoir simulator spe 17289 vertical sweep efficiency machine learning enhanced recovery mobility ratio prediction sweep efficiency calculation breakthrough artificial intelligence displacement crossflow flow in porous media efficiency oil recovery reservoir simulation stratified...
Proceedings Papers

Paper presented at the Permian Basin Oil and Gas Recovery Conference, March 10–11, 1988
Paper Number: SPE-17308-MS
... inflow performance fractured reservoir reservoir surveillance homogeneous reservoir production monitoring upstream oil & gas well performance spe 17308 graph machine learning pseudopressure united states government production control tech stabilized absolute open flow potential...
Proceedings Papers

Paper presented at the Permian Basin Oil and Gas Recovery Conference, March 10–11, 1988
Paper Number: SPE-17306-MS
... calculation production monitoring accurate bottomhole pressure calculation machine learning pressure equation society of petroleum engineers apparent roughness absolute roughness reynolds number production control calculation bottom-hole pressure gas well modification drillstem/well testing...
Proceedings Papers

Paper presented at the Permian Basin Oil and Gas Recovery Conference, March 8–9, 1984
Paper Number: SPE-12602-MS
.... artificial intelligence oil price tax variable drilling activity autocorrelation coefficient rig count spe 12602 forecast hourly earnings variation explanatory variable independent variable investment us government upstream oil & gas machine learning logarithmic transformation producer...

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