Dynamic design method of wellbore structure during drilling operation based on LWD

Author:

Ya-nan Sheng,Weiting Li,Kai Lan,Jinbao Jiang,Hua Kong

Abstract

AbstractAt present, there is no good method or technology for quantitative evaluation of wellbore structure and engineering risk in the process of deep well drilling in complex formation, and there is no rational understanding of engineering risk mechanism. With the development of MWD and transmission technology, the formation pressure and rock mechanics parameters of the drilled section can be accurately determined in the process of drilling, which provides a basis for the well bore structure and engineering risk assessment in the process of drilling. This paper makes full use of the advantages of MWD and other technologies to seek a method to improve the accuracy of formation pressure prediction with narrow safe density window On this basis, the risk identification methods of leakage, blowout, collapse, sticking and other engineering risks in the process of drilling are studied, and the risk assessment method of dynamic wellbore structure in the process of drilling is established; at the same time, the uncertain parameters in the existing wellbore structure design method are studied, and the design method is improved, so as to minimize the risk of well structure design.

Publisher

Springer Science and Business Media LLC

Subject

General Energy,Geotechnical Engineering and Engineering Geology

Reference18 articles.

1. Deli G (2004) Deep and ultra-deep well drilling technology under complex geological conditions [M]. Petroleum Industry Press, Beijing

2. Gundersen OE, Aamodt A (2012) A real-time decision support system for high cost well drilling operations[J]. Ai Magazine 34(1):21–32

3. Jianhua L, Chao W, Lisiang W et al (2013) Grey evaluation method of well loss risk and its application in Yuanba gas field [J]. Drill Fluid Completion Fluid 30(5):32–36

4. Ke Ke, Zhichuan G, Xing Z (2009) Determination method of formation pore pressure with reliability before drilling deep water exploration wells [J]. J China Univ Petrol(Nat Sci Ed) 33(05):61–67

5. Khakzad N, Khan F, Amyotte P (2013) Quantitative risk analysis of offshore drilling operations: A Bayesian approach[J]. Saf Sci 57(3):108–117

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