Geostatistic recognition of genetically distinct lacustrine shale facies based on big data technology
Title
Geostatistic recognition of genetically distinct lacustrine shale facies based on big data technology
Subject
Big data
Petroleum prospecting
Data handling
Geological surveys
Description
With the breakthrough and progress of shale oil and gas exploration, the strong heterogeneity of shale has been highly paid attention. Relying on the traditional geological methods, the classification of shale is difficult to meet the current needs of exploration and development. It is a very important problem that how to complete the genetic classification of shale based on the comprehensive consideration of many parameters including genesis and characteristics. This paper demonstrates that the geostatistic recognition based on big data technology analysis can processing numerous data and identifies genetically distinct shale facies, which improve understanding of changes in a single shale formation. It has functions (1) of assigning genetic affinities and (2) of making it available that a confidence level in the classification for any additional shale samples. EAGE 2019.
Emerson
OMV
Rosoft
tNavigator
WesternGeco
Wintershall Dea
Creator
Lin, S.
Publisher
1st EAGE Digitalization Conference and Exhibition, November 30, 2020 - December 3, 2020
Date
2020
Type
conferencePaper
Identifier
10.3997/2214-4609.202032003
Citation
Lin, S., “Geostatistic recognition of genetically distinct lacustrine shale facies based on big data technology,” Lamar University Midstream Center Research, accessed May 2, 2024, https://lumc.omeka.net/items/show/29409.