Narrow Density Window and Risk Assessment Based on Big Data
Title
Narrow Density Window and Risk Assessment Based on Big Data
Subject
Pressure
Risk assessment
Big data
Petroleum reservoir engineering
Infill drilling
Drilling fluids
Description
For the deep strata with fracture zone, fault zone and various permeability and fracture loss, the geological conditions are particularly complicated, which makes it particularly difficult to predict the safety density window and engineering risk, through investigation and research, combined with the actual situation of a deep oil and gas reservoirs in northwest China, for the formation of three pressure section in the regions was determined, and through the actual leakage occurs correction of formation fracture pressure of drilling fluid density as a standard of lost circulation project risk evaluation, the author combined with big data, based on a certain algorithm, got the regionalization of the region narrow safe density window, on narrow density window combination of generalized stress and strength interference theory, based on the real-time drilling fluid density in the region one of the key Wells project risk evaluation, the project risk is match with the actual project risk situation. Published under licence by IOP Publishing Ltd.
1757
Creator
Li, Pengfei
Guan, Zhichuan
Han, Chao
Hu, Sicheng
Xiao, Fan
Guan, Yunyun
Publisher
2020 International Conference on Computer Big Data and Artificial Intelligence, ICCBDAI 2020, October 24, 2020 - October 25, 2020
Date
2021
Type
conferencePaper
Identifier
17426588
10.1088/1742-6596/1757/1/012105
Citation
Li, Pengfei et al., “Narrow Density Window and Risk Assessment Based on Big Data,” Lamar University Midstream Center Research, accessed May 4, 2024, https://lumc.omeka.net/items/show/29364.