The T fault block in the L depression is influenced by both bound water and movable water in the layer. Initially, oil and water production occurred simultaneously, but as development progressed, some reservoirs exhibited reduced water content and increased production. This paper, based on conventional log curve analysis combined with well logging, well testing and production data, qualitatively identifies the differences between bound water and movable water in log curves. The analysis was verified through an empirical model of bound water saturation and practical application. The study indicates that bound water, influenced by factors such as clay content, reservoir properties, and pore structure, shows “three lows and one high” in electrical properties: low resistance, low acoustic, low potential, and high gamma, with calculated bound water saturation exceeding 50%. In contrast, movable water exhibits “two lows and two highs” in electrical properties: low resistance, low gamma, high acoustic, high potential, and tends to produce a high volume of water but has a lower calculated bound water saturation. Reservoir logging evaluation method based on bound water research effectively distinguishes between oil reservoirs containing bound water and those with movable water, reducing the duration and cost of laboratory analyses. Due to its minimal regional impact, this method can be applied in both new and old blocks.

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Oil Reservoir Logging Evaluation Method Based on Bound Water Research

  • Gui-xian Chen

摘要

The T fault block in the L depression is influenced by both bound water and movable water in the layer. Initially, oil and water production occurred simultaneously, but as development progressed, some reservoirs exhibited reduced water content and increased production. This paper, based on conventional log curve analysis combined with well logging, well testing and production data, qualitatively identifies the differences between bound water and movable water in log curves. The analysis was verified through an empirical model of bound water saturation and practical application. The study indicates that bound water, influenced by factors such as clay content, reservoir properties, and pore structure, shows “three lows and one high” in electrical properties: low resistance, low acoustic, low potential, and high gamma, with calculated bound water saturation exceeding 50%. In contrast, movable water exhibits “two lows and two highs” in electrical properties: low resistance, low gamma, high acoustic, high potential, and tends to produce a high volume of water but has a lower calculated bound water saturation. Reservoir logging evaluation method based on bound water research effectively distinguishes between oil reservoirs containing bound water and those with movable water, reducing the duration and cost of laboratory analyses. Due to its minimal regional impact, this method can be applied in both new and old blocks.