Proceedings of the 8th Unconventional Resources Technology Conference 2020
DOI: 10.15530/urtec-2020-2442
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Prediction of 3-D Facies and Petrophysical Models using Seismic Inversion and Advanced Statistical Data Analytics in Midland Basin Study Area

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“…This kind of risk factor is some how re duced by the fact that the seal ing shale ho rizons are lat er ally more ho mo ge neous, es pe cially in up per and mid dle Ju ras sic strata, when deep-wa ter fa cies pre vailed. More so phis ti cated data ac qui si tion and pro cess ing fo cus on the inter pre ta tion of elas tic prop er ties that may ex press fa cies dis tribu tion (Kemper and Gun ning, 2014;Pandey et al, 2020) and so may re duce this un cer tainty.…”
Section: Discussionmentioning
confidence: 99%
“…This kind of risk factor is some how re duced by the fact that the seal ing shale ho rizons are lat er ally more ho mo ge neous, es pe cially in up per and mid dle Ju ras sic strata, when deep-wa ter fa cies pre vailed. More so phis ti cated data ac qui si tion and pro cess ing fo cus on the inter pre ta tion of elas tic prop er ties that may ex press fa cies dis tribu tion (Kemper and Gun ning, 2014;Pandey et al, 2020) and so may re duce this un cer tainty.…”
Section: Discussionmentioning
confidence: 99%