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首页> 外文期刊>Petroleum exploration and development >A fracture evaluation by acoustic logging technology in oil-based mud: A case from tight sandstone reservoirs in Keshen area of Kuqa Depression, Tarim Basin, NW China
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A fracture evaluation by acoustic logging technology in oil-based mud: A case from tight sandstone reservoirs in Keshen area of Kuqa Depression, Tarim Basin, NW China

机译：基于声波测井技术的油性泥浆裂缝评价-以塔里木盆地库车De陷克深地区致密砂岩储层为例

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摘要

To solve the problem of poor fracture identifying effect on electrical logging in oil-based mud, the application of acoustic logging to the quantitative characterisation of fractures is expanded from three aspects, namely, Stoneley waves, longitudinal and transverse waves and cross dipole acoustic waves, and a fracture logging evaluation model closely related to production capacity is established considering the radial extension characteristics of fractures. The Stoneley reflection coefficient is used to determine fractures locations to help detect fractures during normal micro-resistivity imaging logging. Based on the experiment on the relationship between fracture width and acoustic attenuation coefficient, empirical formulae for calculating fracture width have been established by primary wave and shear wave energy information considering the effect of porosity. The new parameters, including spectrum correlation coefficient and energy difference from cross dipole array acoustic logging data, can be used for fractures evaluation. The more developed the fractures are, the greater the energy difference becomes, and the smaller the spectrum correlation coefficient is, the higher the production is. The fracture effective evaluation parameters can be separated into two components, specified as the degree of fracture vertical opening and radial extension. Combining the conventional logging and array acoustic logging (including cross dipole array acoustic logging), a fracture radial extension evaluation model is presented closely related to productivity.
机译：为解决裂缝识别对油性泥浆电测井效果差的问题，声波测井在裂缝定量表征中的应用从斯通利波，纵向波，横向波和交叉偶极声波三个方面进行了扩展，考虑裂缝的径向延伸特征，建立了与产能密切相关的裂缝测井评价模型。斯通利反射系数用于确定裂缝位置，以帮助在正常的微电阻率成像测井中检测裂缝。在试验裂缝宽度与声衰减系数之间关系的基础上，结合孔隙率的影响，利用原波和剪切波能量信息建立了计算裂缝宽度的经验公式。新参数，包括频谱相关系数和来自交叉偶极子阵列声波测井数据的能量差，可用于裂缝评估。裂缝越发育，能量差越大，频谱相关系数越小，产量越高。断裂有效评估参数可以分为两个部分，分别指定为断裂垂直张开度和径向延伸度。结合常规测井和阵列声波测井（包括交叉偶极子阵列声波测井），提出了与产能密切相关的裂缝径向扩展评价模型。

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