刘坤, 马英文, 张志虎, 李鸿儒. 潜山裂缝性储层评价方法[J]. 石油钻采工艺, 2018, 40(S1): 58-61. DOI: 10.13639/j.odpt.2018.S0.016
引用本文: 刘坤, 马英文, 张志虎, 李鸿儒. 潜山裂缝性储层评价方法[J]. 石油钻采工艺, 2018, 40(S1): 58-61. DOI: 10.13639/j.odpt.2018.S0.016
LIU Kun, MA Yingwen, ZHANG Zhihu, LI Hongru. Evaluation method for fractured reservoir in buried hill[J]. Oil Drilling & Production Technology, 2018, 40(S1): 58-61. DOI: 10.13639/j.odpt.2018.S0.016
Citation: LIU Kun, MA Yingwen, ZHANG Zhihu, LI Hongru. Evaluation method for fractured reservoir in buried hill[J]. Oil Drilling & Production Technology, 2018, 40(S1): 58-61. DOI: 10.13639/j.odpt.2018.S0.016

潜山裂缝性储层评价方法

Evaluation method for fractured reservoir in buried hill

  • 摘要: 渤中M构造主要目的层为变质花岗岩潜山裂缝性储层,其特点是平面及纵向上储层非均质性强、储集空间类型复杂,给现场钻井地质决策带来诸多问题。为此,开展了潜山裂缝性储层的评价方法研究。以钻井工程参数为基础,建立了功指数模型实现对储层的随钻实时判别;以常规测井资料为基础,从地层岩石力学角度出发,建立了测井评价模型实现对储层裂缝发育程度的评价。同时为弥补单一评价体系的不足,引入模糊数学理论将录井储层评价参数和测井储层评价参数二者有机结合起来,建立了综合评价模型。多口井的应用结果表明,该方法能够较好地满足矿场勘探要求,为储层划分、测试层优选、钻井参数优选等提供依据。

     

    Abstract: The main target zone of the M structure in the BZ structure is metamorphic granite buried hill fracture reservoir, which is characterized by strong horizontal and vertical reservoir heterogeneity and complex reservoir space types that brings many problems to the geological decision-making of drilling.Therefore, the evaluation method of the fractured reservoir in buried hill is carried out.Based on the drilling engineering parameters, the work exponential model is established to realize the real-time identification of the reservoir while drilling.Based on the conventional logging data, from the aspect of formation rock mechanics, the logging evaluation model is established to evaluate the fracture development degree of the reservoir.To make up for the shortage of single evaluation system, the fuzzy mathematics theory is introduced to combine the logging reservoir evaluation parameters and well logging reservoir evaluation parameters, and the comprehensive evaluation model established.The application results of several wells show that the method can meet the requirements of mine exploration, and can provide basis for reservoir classification, DST layer optimization, drilling parameters optimization.

     

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