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Fracture Porosity from Conventional Logs with Image Tool Calibration

机译:使用图像工具校准的常规测井的裂缝孔隙率

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Petrophysical evaluation of the Moki Formation in the Toka-1rnexploration well, required rapid quantification of fracturernporosities, enabling likely hydrocarbon volumes to bernestimated. A resistivity imaging tool had been run over thernapproximately 400m of fractured interval. This informationrnwas being processed for fracture apertures by the acquisitionrncontractor, but the rate of quantification was too slow to meetrnthe operators objectives. A technique was developed to rapidlyrnestimate fracture porosities using the difference between therndensity and the compressional sonic porosities and therndifference between the shear and compressional sonicrnporosities. The fracture porosity estimates were cross-checkedrnagainst the image log analysis completed. Owing to washoutsrnacross the most heavily fractured intervals, it was expectedrnthat fracture porosities from the density and compressionalrnsonic logs were maximum values. The most likely fracturernporosities were thought to be those derived using the shear andrncompressional velocities. The fracture porosities estimated byrnhand-picking fractures from the image data were consideredrnthe minimum values, since the identification process wasrnincomplete. The work described represents a new techniquernfor fracture porosity quantification. The comparison withrnimage log interpretation over a short interval gives confidencernin the methodology. The results are significant in that theyrnshow rapid quantification of fracture porosity is possible byrnusing conventionally acquired logs, although it should bernrecognised that the uncertainty in this approach is significant.rnApplication of this technique to other fields with limited imagerndata may prove helpful in reservoir modelling andrnunderstanding of production behaviour.
机译:在Toka-1rn勘探井中的Moki地层的岩石物理评价要求对裂隙孔隙度进行快速定量,从而使可能的烃量得以重新赋存。电阻率成像工具已在约400m的裂缝间隔上运行。采集承包商正在处理裂缝孔的信息,但量化速度太慢,无法满足操作员的目标。开发了一种利用密度与压缩声波孔隙率之间的差异以及剪切与压缩声波孔隙率之间的差异来快速重新确定裂缝孔隙率的技术。在完成图像测井分析后,对裂缝孔隙率估算值进行了交叉检查。由于在最严重的压裂层段上进行了冲刷,因此可以预期密度和压缩声波测井的裂缝孔隙率是最大值。人们认为最可能的裂缝孔隙度是使用剪切和压缩速度得到的。由于识别过程不完全,通过从图像数据中手工挑选裂缝估计的裂缝孔隙率被认为是最小值。所描述的工作代表了一种用于裂缝孔隙率定量的新技术。在很短的时间间隔内与图像测井解释进行比较,使该方法更具信心。结果是有意义的,因为它们表明通过使用常规采集的测井曲线可以对裂缝孔隙度进行快速定量,尽管应该认识到这种方法的不确定性是很大的。将该技术应用于图像数据有限的其他领域可能被证明有助于油藏建模和认识生产行为。

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