• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of Petroleum Exploration and Production Technology >A novel productivity evaluation approach based on the morphological analysis and fuzzy mathematics: insights from the tight sandstone gas reservoir in the Ordos Basin, China
【24h】

A novel productivity evaluation approach based on the morphological analysis and fuzzy mathematics: insights from the tight sandstone gas reservoir in the Ordos Basin, China

机译：一种基于形态学分析和模糊数学的新型生产力评价方法：鄂尔多斯盆地紧密砂岩煤气藏见识

获取原文
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Tight gas reservoirs have rich potential resources, which are hot spots in unconventional oil and gas exploration and development. Due to their strong heterogeneity and complex pore structures, the conventional approaches of productivity evaluation always have difficulty in predicting the gas content. This study aims to devise a new method to interpret the productivity of LX Block in the Ordos Basin using the morphological theory and fuzzy mathematics. First, core test results were used to investigate the reservoir quality and physical properties. Then, the change law of gas content was defined by the morphological theory of logging and mud logging curves. Assignments of those factors that affected the final production were provided based on fuzzy mathematics. Finally, the prediction model of productivity was established. The results show that the lower limit of the reservoir thickness in the LX Block is 3.1?m, whereas the porosity and permeability are 5% and 0.15?×?10?3?μm2, respectively. The morphological characteristic of the gas logging curve for those layers with high potential production normally presents a box shape with a high relative number of serration. The reservoir in the studied area can be classified into four categories according to the relationship between the logging curve shape and daily production, and each category is automatically identified. The coincidence rate between the prediction results and the gas test results is 84.1%, which satisfies the demand on the field. The findings have important theoretical and practical significance for screening the location of fracturing spots and predicting the production of tight gas reservoirs.
机译：狭长的气体水库具有丰富的潜在资源，这些资源是非规范石油和天然气勘探开发的热点。由于它们具有强的异质性和复杂的孔隙结构，所以常规的生产率评估方法总是难以预测气体含量。本研究旨在使用形态学理论和模糊数学来设计一种新方法来解释鄂尔多斯盆地中LX块的生产力。首先，使用核心测试结果来研究储层质量和物理性质。然后，气体含量的变化规律是由伐木和泥浆测井曲线的形态学理论定义的。基于模糊数学提供了影响最终生产的因素的分配。最后，建立了生产率的预测模型。结果表明，LX块中的贮存器厚度的下限为3.1μm，而孔隙率和渗透率分别为5％和0.15Ω·×10？3？μm2。具有高潜在产生的那些层的气体测井曲线的形态特征通常呈现具有高相对锯齿的盒形状。根据测井曲线形状和日常生产之间的关系，研究区域中的储存器可以分为四类，并且每个类别都会自动识别。预测结果与气体试验结果之间的巧合率为84.1％，满足了对该领域的需求。该研究结果对筛选压裂斑点的位置并预测狭小气体储层生产具有重要的理论和实践意义。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号