<p>Tight oil reservoirs are characterized by low porosity, low permeability, and strong heterogeneity. Pronounced bottom-water coning often causes early water breakthrough, severely restricting stable field development. To elucidate the oil displacement mechanism and pore-scale fluid response during bottom-water coning, long-core experiments were conducted under depletion and bottom-water coning conditions, with NMR used to quantify fluid migration and residual oil distribution at the microscopic scale. Results indicate that depletion development predominantly mobilizes oil from medium to large pores via pressure depletion, while bottom water coning enhances displacement efficiency in small to medium pores through water front invasion, with limited effect on larger pores. Pressure gradient distributions reveal differences in flow-driving mechanisms that control displacement efficiency. These findings provide experimental support and micro-scale insights to optimize displacement strategies and improve oil recovery in complex tight reservoirs.</p>

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Investigation on Pressure Transmission of Bottom Water Coning in Tight Oil Reservoirs

  • Zhenlong Deng,
  • Xiaoguang Wang,
  • Jigang Zhang,
  • Chenguang Cui,
  • Ping Song,
  • Xiaopeng Bai

摘要

Tight oil reservoirs are characterized by low porosity, low permeability, and strong heterogeneity. Pronounced bottom-water coning often causes early water breakthrough, severely restricting stable field development. To elucidate the oil displacement mechanism and pore-scale fluid response during bottom-water coning, long-core experiments were conducted under depletion and bottom-water coning conditions, with NMR used to quantify fluid migration and residual oil distribution at the microscopic scale. Results indicate that depletion development predominantly mobilizes oil from medium to large pores via pressure depletion, while bottom water coning enhances displacement efficiency in small to medium pores through water front invasion, with limited effect on larger pores. Pressure gradient distributions reveal differences in flow-driving mechanisms that control displacement efficiency. These findings provide experimental support and micro-scale insights to optimize displacement strategies and improve oil recovery in complex tight reservoirs.