Calculation method of gas saturation based on gas release ability of oil based mud gas logging

LIU YUEJIAO; LIU JIANXIN; ZHENG SHANSHAN; XIA YU; SUN JIANMENG; CHEN SHIYU

doi:10.13809/j.cnki.cn32-1825/te.20260181

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Calculation method of gas saturation based on gas release ability of oil based mud gas logging

更新时间：2026-09-22

- Calculation method of gas saturation based on gas release ability of oil based mud gas logging
- Petroleum Reservoir Evaluation and Development Pages: 1-11(2026)
- 作者机构：
  
  1.中国石油大学（华东）地球科学与技术学院，山东青岛 266580
  2.中海石油（中国）有限公司上海分公司，上海 200335
- 作者简介：
- 基金信息：
- DOI：10.13809/j.cnki.cn32-1825/te.20260181
  CLC： TE122
- Received：15 August 2026，
  
  Online First：22 September 2026，
- 稿件说明：
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刘粤蛟, 刘建新, 郑珊珊, 等. 基于油基泥浆气测录井可释气能力的含气饱和度计算方法[J]. 油气藏评价与开发, XXXX, XX(XX): 1-11.

Liu Yuejiao, Liu Jianxin, Zheng Shanshan, et al. Calculation method of gas saturation based on gas release ability of oil based mud gas logging[J]. Petroleum Reservoir Evaluation and Development, XXXX, XX(XX): 1-11.
刘粤蛟, 刘建新, 郑珊珊, 等. 基于油基泥浆气测录井可释气能力的含气饱和度计算方法[J]. 油气藏评价与开发, XXXX, XX(XX): 1-11. DOI： 10.13809/j.cnki.cn32-1825/te.20260181.

Liu Yuejiao, Liu Jianxin, Zheng Shanshan, et al. Calculation method of gas saturation based on gas release ability of oil based mud gas logging[J]. Petroleum Reservoir Evaluation and Development, XXXX, XX(XX): 1-11. DOI： 10.13809/j.cnki.cn32-1825/te.20260181.

摘要

针对西湖凹陷深层低渗—特低渗致密砂岩储层，电阻率影响因素复杂，导致饱和度评价结果存在较强多解性。充分挖掘并利用气测录井的含气性响应，对于提高饱和度评价和流体识别至关重要。然而，气测录井响应受工程参数、钻井液性能、地面脱气效率及储层物性等多重因素制约。气测录井的有效应用依赖于其响应特征与储层真实含气状况间可靠转换关系的构建。为此，本文以西湖凹陷花港组致密砂岩储层为研究对象，对气测全烃数据进行背景值、钻井工程参数及井筒压差标准化处理；在此基础上，利用脱气实验将全烃响应转化为等效钻井液含气量，再经破岩体积归一化、地表-地层温压换算，得到单位岩石体积的等效释气量。通过引入有效孔隙度约束，构建地层可释气能力指数，该指数在一定程度上兼顾致密砂岩孔喉差异、气体释放不充分、油基泥浆吸附及井筒运移损失等因素，进而建立等效释气响应与含气饱和度之间的非线性气测饱和度转换模型。研究区N4井和N5井的跨井验证中，气测含气饱和度与实验值的决定系数为0.78，平均绝对误差为0.058，且与试气结果相吻合，能有效反映饱和度的纵向非均质变化。本次提出的气测饱和度模型不以地层导电响应为基础，可降低电阻率复杂响应带来的不确定性，适用于数据受限程度较高及油基泥浆条件下复杂电性致密砂岩储层的含气饱和度经济快速评价，并与传统电阻率饱和度模型形成相互验证和优势互补。

Abstract

Deep low-to ultra-low-permeability tight sandstone reservoirs in the Xihu Sag exhibit complex resistivity responses controlled by multiple factors

resulting in pronounced ambiguity in saturation evaluation. Therefore

fully exploiting the gas-bearing response of gas logging is essential for improving saturation evaluation and fluid identification. However

gas-logging responses are jointly affected by drilling engineering parameters

drilling-fluid properties

surface degassing efficiency

and reservoir petrophysical properties. Their effective application requires a reliable conversion relationship between gas-logging response and the actual gas-bearing state of the reservoir. To address these issues

this study focuses on tight sandstone reservoirs of the Huagang Formation in the Xihu Sag. Total hydrocarbon gas was standardized for background level

drilling engineering parameters

and wellbore pressure differential. Degassing experiments were then used to convert the total hydrocarbon response into equivalent gas content in the drilling fluid. After normalization by the volume of drilled rock and pressure–temperature conversion from surface to formation conditions

the equivalent gas release per unit rock volume was obtained. Effective porosity was introduced as a constraint to construct a formation gas-releasability index

which accounts

to some extent

for the effects of pore-throat differences in tight sandstone

incomplete gas release

adsorption by oil-based mud

and wellbore transport loss. Accordingly

a nonlinear gas-logging-based saturation conversion model was established between equivalent gas-release response and gas saturation. Cross-well validation in Wells N4 and N5 showed that the gas-logging-derived gas saturation had a coefficient of determination of 0.78 and a mean absolute error of 0.058 relative to experimental values. The results were consistent with gas test results and effectively reflected the vertical heterogeneity of gas saturation. The gas saturation model proposed in this study is not based on formation conductivity response

thereby reducing the influence of uncertainty caused by complex resistivity responses. It can support economical and rapid gas saturation evaluation of electrically complex tight sandstone reservoirs under data-limited and oil-based mud conditions

and can provide mutual verification and complementary advantages with conventional resistivity-based saturation models.

关键词

Keywords

references

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