Open AccessNarrow Density Window and Risk Assessment Based on Big Data
Author(s) -
Pengfei Li,
Zhichuan Guan,
Chao Han,
Sicheng Hu,
Fan Xiao,
Yunyun Guan
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1757/1/012105
Subject(s) - window (computing) , petroleum engineering , drilling , lost circulation , geology , permeability (electromagnetism) , drilling fluid , fracture (geology) , leakage (economics) , fossil fuel , mining engineering , risk analysis (engineering) , geotechnical engineering , computer science , engineering , mechanical engineering , medicine , macroeconomics , membrane , biology , waste management , economics , genetics , operating system
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