Dynamic fracture width prediction for lost circulation control and formation damage prevention in ultra-deep fractured tight reservoir

Document Type

Journal Article

Publication Title

Fuel

Volume

307

Publisher

Elsevier

School

School of Engineering

RAS ID

45352

Funders

National Natural Science Foundation of China

Sichuan Province Science and Technology Project

Sichuan Province Youth Science and Technology Innovation Team Project

State Key Laboratory of Oil and Gas Reservoir Geology and exploitation

Comments

Xu, C., Yang, X., Liu, C., Kang, Y., Bai, Y., & You, Z. (2022). Dynamic fracture width prediction for lost circulation control and formation damage prevention in ultra-deep fractured tight reservoir. Fuel, 307, article 121770.

https://doi.org/10.1016/j.fuel.2021.121770

Abstract

Dynamic fracture width prediction is of great importance to the control of lost circulation, which often leads to safety, environmental and economic issues and results in severe formation damage during the development of ultra-deep fractured tight reservoir. However, the connected fault boundary and nonlinear deformation behavior are rarely considered for the fracture width prediction. In the current paper, the fracture deformation equation is determined by fitting the stress sensitivity experiments data. The prediction model for dynamic fracture width is developed based on the non-Newtonian fluid loss dynamics theory, accounting for the power-law fluid, fracture index deformation equation and fault boundary. Parametrical analysis is conducted to investigate the effects of pressure difference, consistency coefficient, flow pattern index and fault boundary distance on the dynamic fracture width. Control strategy is proposed for drilling fluid loss in fractures with connected fault in ultra-deep fractured reservoir. The developed dynamic fracture width prediction model is validated by field data and successfully applied to the SHB ultra-deep fractured tight reservoir in Tarim Basin, China.

DOI

10.1016/j.fuel.2021.121770

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