Tạp chí
 
Năm 2026
 
Số 67, Kỳ 4, [08 - 2026] - Tiếng Anh

A numerical workflow for sand production prediction accounting for stresses redistribution around perforation tunnels: insights from well A-1P, Cuu Long basin

DOI:10.46326/JMES.2026.67(4).10

  • Cơ quan:

    1 Petrovietnam Exploration and Production Corporation, Hanoi, Vietnam
    2 Hanoi University of Mining and Geology, Hanoi, Vietnam

  • *Tác giả liên hệ:
    This email address is being protected from spambots. You need JavaScript enabled to view it.
  • Nhận bài: 20-04-2026
  • Sửa xong: 08-07-2026
  • Chấp nhận: 17-07-2026
  • Ngày đăng: 01-08-2026
Trang: 108 - 117
Lượt xem: 14
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Tóm tắt:

Sand production is a phenomenon in which disintegrated sand grains are carried with fluid flow from formation, leading to equipment erosion, reduced productivity, and significant economic losses. Conventional sand production prediction typically computes stresses at the wellbore, frequently neglecting stress redistribution around perforation tunnels. To address this gap, this paper utilized a Python-based numerical script to compute the maximum effective tangential compressive stress ( ? ?1??? ) by solving borehole stress equations across a 3600 circumferential range for various perforation angles (00, 300, 600 and 900). Concurrently, a continuous thick-walled cylinder (TWC) strength profile along the wellbore generated by using an empirical correlation between core laboratory tests and log-derived uniaxial compressive strength (UCS). Both parameters serve as critical inputs for the Load Factor (LF) criterion which was applied to identify sand-prone intervals and determine the Critical Drawdown Pressure (CDDP). The model was validated against field production data from the perforated interval 1817÷1823.6 mMD, which flowed 928 BOPD and 5.74 MMscf/day. The prediction results showed interbedded sanding and sand-free zones, confirming that sand production could occur under most drawdown conditions. The result is highly consistent with the number of sand grains counted at the surface from the early production stage. In addition, the sensitivity analysis showed that reservoir pressure depletion significantly impacts sand production. The study aims to provide a robust framework for sand production management in Field X. The integration of geomechanical modeling with real-time production data allows for the optimization of well trajectories and perforation orientations, effectively minimizing sanding risks and maximizing the economic life cycle of the well.

Trích dẫn
Hoang Van Nguyen, Huong Thien Phan và Vinh The Nguyen, 2026. A numerical workflow for sand production prediction accounting for stresses redistribution around perforation tunnels: insights from well A-1P, Cuu Long basin, Tạp chí Khoa học kỹ thuật Mỏ - Địa chất, số 67, kỳ 4, tr. 108-117.
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