地学前缘 ›› 2025, Vol. 32 ›› Issue (5): 389-403.DOI: 10.13745/j.esf.sf.2025.7.16

• 智能储层透视 • 上一篇    下一篇

含煤层系相控型致密气储层非均质性评价的沉积要素与甜点预测策略:以鄂尔多斯盆地为例

李胜利1(), 张亚雄2, 于兴河1, 付超1, 马喜斌3   

  1. 1.中国地质大学(北京) 海相储层演化与油气富集机理教育部重点实验室, 北京 100083
    2.中国石化石油勘探开发研究院, 北京 102206
    3.中国石化中原油田分公司 内蒙古采油厂, 河南 濮阳 457001
  • 收稿日期:2024-10-12 修回日期:2025-05-18 出版日期:2025-09-25 发布日期:2025-10-14
  • 基金资助:
    国家自然科学基金项目(42172112)

Sedimentary elements of heterogeneity evaluation and sweet spot prediction strategies on sedimentary facies controlled tight gas reservoirs in coal-bearing intervals: Examples from the Ordos Basin

LI Shengli1(), ZHANG Yaxiong2, YU Xinghe1, FU Chao1, MA Xibin3   

  1. 1. MOE Key Laboratory of Marine Reservoir Evolution and Hydrocarbon Accumulation Mechanism, China University of Geosciences (Beijing), Beijing 100083, China
    2. Petroleum Exploration and Production Research Institute, SINOPEC, Beijing 102206, China
    3. Inner Mongolia Oil Production Plant, Zhongyuan Oilfield, SINOPEC, Puyang 457001, China
  • Received:2024-10-12 Revised:2025-05-18 Online:2025-09-25 Published:2025-10-14

摘要:

全球油气勘探实践已表明,致密气是当前最重要、也是今后最具前景的非常规油气资源。致密气特别是致密砂(砾)岩气富集的沉积环境主要为河流-三角洲与滨岸,而这些沉积环境与含煤层系有千丝万缕的成因关系。含煤层系可划分出两大类源-储组合关系,常常形成煤层气、致密气及常规天然气共存的资源格局,其中富砂质的沉积相控型致密气常具有大面积、连续分布的特征,但其内部非均质性强,导致甜点储层预测难;而砂泥间互型与泥包砂型致密气储层规模的确定是甜点预测的难点。通过鄂尔多斯盆地典型区块的实例分析表明:含煤层系的沉积环境与相带变迁、砂体沉积成因类型、沉积构型的差异以及优势骨架砂体的分布是造成此类致密气储层的成岩差异、储层非均质性的关键沉积因素。而含煤层系致密气储层的甜点预测首先应注重井震结合、采用相控预测方法;把沉积与成岩充分结合起来,以沉积相带约束成岩相带划分;注意合理评估含煤层系致密储层原生孔隙的损失量,并通过成因砂体对比明确砂体连通性。进行致密气储层综合评价与含气规模预测时,要注意不同评价方案的差异性;在含气储量计算时,注意规避容积法在取参方面的不准确性,而采用地质统计学的方法取参并计算储量更适用。另外,在相控地质建模时,由于致密气储层非均质性强,也要注意进行合理物性截断取值。

关键词: 含煤层系, 相控型致密气储层, 源-储组合, 储层非均质性, 甜点预测

Abstract:

Global petroleum exploration practice has shown that tight gas is the most important and promising unconventional resource currently. Sedimentary environments enriched in tight gas, particularly tight sandstone and conglomerate gas, are primarily fluvial-deltaic and lacustrine shoreline systems, which exhibit an inextricable genetic link to coal-bearing intervals. Within these coal-bearing intervals, two primary source-reservoir assemblages are recognized, commonly resulting in a resource configuration where coalbed methane, tight gas, and conventional natural gas coexist. Tight gas reservoirs within sandy sedimentary facies typically exhibit extensive lateral distribution but strong internal heterogeneity, posing significant challenges for sweet spot prediction. Predicting the size and geometry of tight gas reservoirs characterized by interbedded sand and mud, and mud-encased sand bodies, remains a key challenge in sweet spot prediction. Analysis of typical blocks in the Ordos Basin demonstrates that sedimentary environment and facies belt variations within coal-bearing intervals, differences in sand body genetic types and sedimentary architecture, and the distribution of dominant framework sand bodies are key sedimentary factors controlling the diagenetic differences and reservoir heterogeneity in such tight gas reservoirs. Sweet spot prediction for tight gas reservoirs in coal-bearing intervals should emphasize the following: First, integrate well and seismic data utilizing sedimentary facies-constrained prediction methods. Second, combine sedimentation and diagenesis studies to constrain the delineation of diagenetic facies belts using sedimentary facies belts. Third, accurately assess primary porosity loss in tight reservoirs of coal-bearing intervals and clarify sand body connectivity through genetic sand body correlation. When conducting comprehensive evaluation and predicting gas-bearing potential, it is essential to be aware of potential discrepancies arising from different evaluation schemes. For calculating gas reserves/gas-in-place (GIP), the parameter uncertainty inherent in the volumetric method should be considered, whereas geostatistical methods offer a more robust approach to parameter estimation and reserve calculation. Additionally, in sedimentary facies-controlled geological modeling of tight gas reservoirs, the strong heterogeneity necessitates the selection of reasonable petrophysical cutoff values.

Key words: coal-bearing intervals, sedimentary facies controlled tight gas reservoir, assemblage of source rock and reservoir, reservoir heterogeneity, sweet spot prediction

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