新疆石油天然气 ›› 2024, Vol. 20 ›› Issue (1): 21-30.DOI: 10.12388/j.issn.1673-2677.2024.01.003

• 油气勘探 • 上一篇    下一篇

岩心-测井-地震信息二步匹配预测页岩储层层理缝

  

  1. 1.新疆油田公司工程技术研究院(监理公司),新疆克拉玛依  834000;

    2.北京远望景盛科技发展有限公司,北京海淀  100083

  • 出版日期:2024-03-06 发布日期:2024-03-06
  • 通讯作者: 佟亮(1988-),2012年毕业于河北联合大学石油工程专业,工程师,目前从事油气田地质工程方面的研究工作。(Tel)17710556701(E-mail)tongliang@yuanwangjs.com
  • 作者简介:李嘉成(1994-),2020年毕业于中国石油大学(北京)油气井工程专业,硕士,工程师,目前从事油气田开发工程方面的研究工作。(Tel)18509901750(E-mail)lijc831@petrochina.com.cn
  • 基金资助:

    中国石油天然气股份有限公司重大现场攻关项目“水平井体积改造技术提升”子课题“新疆油田页岩/致密油气体积改造技术提升攻关与现场试验”(2021CGCGZ006)

Prediction of Bedding Fractures in Shale Reservoirs Based on Two-Step Matching Core-Logging-Seismic Information

  1. 1. Research Institute of Engineering Technology,PetroChina Xinjiang Oilfield Company,Karamay 834000,Xinjiang,China;

    2. Yuanwang Jingsheng Technology Development (Beijing) Co.,Ltd,Haidian 100083,Beijing,China.

  • Online:2024-03-06 Published:2024-03-06

摘要:

页岩油勘探开发突破的关键在于储层层理缝的表征及预测,其成因机制的复杂性和影响因素的多样性致使预测技术遭遇瓶颈。在岩心和薄片尺度(mm级)层理缝识别、电阻率成像和常规测井尺度(m级)层理缝评价的基础上,发现吉木萨尔凹陷芦草沟组上甜点段层理缝在白云岩储层中最发育,其次为白云质粉砂岩、泥质粉砂岩,且多发在致密储层分布区,与储层基质孔隙度具有负相关性。结合三维地震数据预测的岩性分布及反演的孔隙度分布,利用井-震信息尺度匹配技术,探索了岩心“点”、测井“线”、地震“面”递次推进的页岩储层层理缝预测技术,融合了岩心识别准确、测井曲线纵向分辨率高、三维地震数据横向连续性强的显著优势。在吉木萨尔凹陷芦草沟组27口井上甜点段进行验证,预测平均相对误差为8%,应用效果良好。该技术的应用可为吉木萨尔凹陷芦草沟组页岩油勘探开发提供有力支撑,对其他盆地页岩油储层评价亦具有重要的借鉴意义。

关键词:

吉木萨尔凹陷, 页岩油, 层理缝, 主控因素, 信息融合, 定量预测

Abstract:

The key to breakthroughs in shale oil exploration and development lies in the characterization and prediction of reservoir bedding fractures. The complexity of its genetic mechanism and the diversity of influencing factors have led to bottlenecks in the prediction technique. Based on the identification of bedding fractures at core and thin section scale (~ mm),and evaluation of bedding fractures through resistivity imaging and at conventional logging scale (~ m),it is found that the bedding fractures in the sweet spot section of Lucaogou Formation in Jimsar Sag are the most developed in dolomite reservoirs,followed by dolomite siltstone and argillaceous siltstone. These fractures are predominantly found in the distribution area of tight reservoirs and exhibit a significant negative correlation with reservoir matrix porosity. Furthermore,combined with the lithology distribution predicted by 3D seismic data and the porosity distribution from inversion,this study investigates the technique for predicting bedding fractures in shale reservoirs by advancing sequentially through core-points,logging-lines,and seismic-surfaces using the well-seismic information scale matching technology. This method integrates the advantages of accurate core identification,high longitudinal resolution of logging curves,and strong lateral continuity of 3D seismic data. The verification conducted on 27 wells in the sweet spot section of the Lucaogou Formation in Jimsar Sag shows an average relative prediction error of 8%,indicating a satisfactory application effect. This technology can provide robust support for the exploration and development of shale oil in the Lucaogou Formation,and it also holds significant reference value for the evaluation of shale oil reservoirs in other basins.

Key words:

Jimsar Sag, shale oil, bedding fracture, main controlling factor, data fusion, quantitative prediction

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