... be added into the database for further training purposes. machine learning Upstream Oil & Gas boundary detection deep learning conv prediction deep cnn Artificial Intelligence classification recognition algorithm inversion interpretation boundary Symposium grid neural network...

...SPWLA 53rd Annual Logging Symposium, June 16-20, 2012 1 RECOGNITION AND CAUSES OF LOW RESISTIVITY PAY ZONES IN CRETACEOUS CLASTIC RESERVOIRS: A CASE STUDY FROM AN OILFIELD IN NORTHERN LLANOS BASIN, COLOMBIA. Marta Elena Becerra, David Hampton, Oscar Llamosa, Christian Perdomo, Claudia Malagon...

... the intrinsic resolution of the image resulting in a very wide range of feature recognition capabilities for the various measurement types. Generally (but with exceptions) higher sample rate and higher resolution images are produced by wireline systems. Lower resolution and lower bandwidth measurements tend...

... Reservoir Characterization log analysis Upstream Oil & Gas neural network well logging neural network model facies machine learning Artificial Intelligence depositional environment information recognition prediction Symposium interpretation microresistivity image porosity...

... and automatic alternative to hand-drawn correlations between wells from log data. Artificial Intelligence Reservoir Characterization well logging correlation borehole matrix detector spwla 39th interpretation log analysis Upstream Oil & Gas recognition Symposium optimization problem log...

... ABSTRACT Three-layer perceptrons and statistical pattern recognition techniques are usually used for lithofacies recognitions from well logs which recognize facies as isolated patterns, with no consideration of the inter-relationship between lithofacies. Thus, the performance of three-layer...

... resonance tools to measure the composition, concentration, and distribution of reservoir fluids should allow a better evaluation, and possibly even quantitative calculation, of reservoir pressure. well logging pore pressure spwla 33rd Upstream Oil & Gas log analyst recognition circulation...

... association scheme. production control production monitoring Artificial Intelligence Upstream Oil & Gas recognition log analysis structural geology sedimentary structure development geologist Reservoir Characterization well logging borehole imaging sedimentological analysis Reservoir...

...SPWLA TWENTY-SEVENTH ANNUAL LOGGING SYMPOSIUM, JUNE 9-13, 1986 CORE-CALIBRATED LOGS UTILIZATION IN RECOGNITION OF DEPOSITIONAL FACIES AND RESERVOIR ROCK OF THE HENRYHOUSE FORMATION (SILURIAN), ANADARKO BASIN H. Craig Throckmorton School of Geology, O.S.U. Stillwater, Oklahoma Zuhair A1-Shaieb...

... characterization. machine learning Upstream Oil & Gas Artificial Intelligence Spwla Eighteenth computer program log analysis regression recognition statistical approach principal component analysis redundancy formation evaluation procedure Symposium cluster analysis Discriminant analysis...

... service companies add a delta tension curve to all statistical types of logs. Examples of logs with such curves are shown. Upstream Oil & Gas well logging log analysis recognition Spwla Fifteenth invalid interval gamma ray curve Engineer better log quality pull-tite interval gamma ray...

...SPWLA TWELFTH ANNUAL LOGGING SYMPOSIUM, MAY 2-5, 1971 RECOGNITION OF POTENTIALLY PRODUCIBLE OIL AND GAS ZONES IN CASED HOLES WITH NEUTRON LIFETIME LOGS By G. W. (Bill) Hoffman Davis Brothers Oil Producers Manager of Drilling and Production Tulsa, Oklahoma ABSTRACT Pulsed neutron logging service...