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Keywords: well log data
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Proceedings Papers
Predicting Fluvial Reservoir Facies by Upscaling Seismic Inversion with 3D Geocellular Modeling: Pinedale Field Case Study
Available to Purchase
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 20–22, 2020
Paper Number: URTEC-2020-2123-MS
... logging reservoir characterization geological modeling structural geology complex reservoir facies sandstone resolution anticline facies distribution artificial intelligence upstream oil & gas fluvial sandstone well log data log analysis reservoir simulation urtec 2123 geocellular...
Proceedings Papers
Improved Reserve Estimates Using Spatial Averaging
Available to Purchase
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 20–22, 2015
Paper Number: URTEC-2147795-MS
..., this recalibrated production data represents the productivity around that region. Geostatistics provides the necessary tools to properly scale the initial potential from the horizontal wells. In addition to scaling the production data, we also scale the well log data and compare the scaled well log data...
Proceedings Papers
Rock Physics Diagnostics and Modeling for Shale Gas Formation Characterization in China
Available to Purchase
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, August 25–27, 2014
Paper Number: URTEC-1914612-MS
... Summary Our study applied a geophysical well log analysis, rock physics diagnostics and rock physics modelling to an exploration well log data from a shale gas exploration area in the Sichuan Basin of South China. The study established an unconsolidated model (80% quartz plus 20% clay...
Proceedings Papers
Probabilistic Facies Assignments in the La Luna Formation, Middle Magdalena Basin, Colombia, from Standard Well Logs Using Whole Core CT Scan Data as Initialization Input
Available to Purchase
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, August 25–27, 2014
Paper Number: URTEC-1934648-MS
... probabilities to each (digitized) sample used in a probabilistic clustering procedure (PCP) that uses standard well logs as clustering variables. This procedure permits the high-definition CT facies to be directly related to the well log data, and the results of the PCP provide a mathematical model (generated...