岩心-测井-地震信息二步匹配预测页岩储层层理缝
Prediction of Bedding Fractures in Shale Reservoirs Based on Two-Step Matching Core-Logging-Seismic Information
李嘉成 1田刚 1王俊超 1张腾 2佟亮2
作者信息
- 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
- 折叠
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.
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 pre-diction 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 argilla-ceous 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 advanc-ing sequentially through core-points,logging-lines,and seismic-surfaces using the well-seismic information scale matching technolo-gy.This method integrates the advantages of accurate core identification,high longitudinal resolution of logging curves,and strong lat-eral 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.
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Key words
Jimsar Sag/shale oil/bedding fracture/main controlling factor/data fusion/quantitative prediction引用本文复制引用
基金项目
中国石油天然气股份有限公司重大现场攻关项目()
中国石油天然气股份有限公司重大现场攻关项目子课题(2021CGCGZ006)
出版年
2024
NETL
NSTL
万方数据