自动地震解释误差校正器

W. Promrak, W. Seeyangnok, W. Inthung, P. Ekkawong
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引用次数: 0

摘要

地震解释是支持评价所有含油气系统要素的关键过程。在传统的解释工作流程中,地震解释人员必须付出巨大的努力,以确保解释后的反射在相交线上是一致的。由于纠正地震解释错误是一项繁琐、重复且耗时的工作,我们开发了一个内部python工具包来自动识别和纠正解释错误。为了识别地震解释错误,首先,我们将循环遍历解释线交叉点,并提取每个交叉点附近的解释层值。然后,比较各解释线解译地平线的统计分布。根据衍生分布的接近性,解释协议将是合理的。如果它们的中位数比平均标准分布更接近,这些位置将被归类为有效解释;否则,他们将被标记为潜在的错误。最终,通过对附近有效解释的插值,将识别出的偏差修正到新的位置。该工具包已经过验证,并用于纠正泰国陆上PTTEP油田的地震解释。结果令人满意,因为该工具可以在几分钟内纠正大多数解释错误,而人工纠正则需要长达几周的时间。此外,我们还评估了有和没有纠偏的地图的体积差异。结果表明,含残余误差的初步解释得到的总岩石体积(GRV)比最终填图得到的实际总岩石体积(GRV)少9.02%。同时,自动纠偏得到的地图与实际GRV相差2.93%。通过减少体积的不确定性,自动解释误差校正器可以在区块评估/采油、井规划和油田开发方面做出更好的决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automated Seismic Interpretation Mis-Tie Corrector
Seismic interpretation is the key process to support the evaluation of all petroleum system elements. With traditional interpretation workflow, seismic interpreters have to put a significant effort to ensure that interpreted reflection does tie at the intersecting lines. Since correcting seismic interpretation mis-tie is tedious, repetitive, and time-consuming, we have developed an in-house python toolkit to automatically identify and correct the interpretation mis-tie. To identify seismic interpretation mis-tie, first, we will loop over interpreting line intersections and extract the values of interpreted horizon near each intersection. Then, the statistical distributions of interpreted horizon from each interpreting line will be compared. Interpretation agreement will be justified based on the proximity of derived distributions. If their medians are closer than the averaged standard distribution, such locations will be classified as valid interpretations; otherwise, they will be marked as potential mis-ties. Eventually, identified mis-ties will be corrected to the new location suggested by interpolation of valid interpretation nearby. The toolkit has been validated and used to correct seismic interpretation from PTTEP oil fields onshore Thailand. The results are satisfying as the tool can correct most interpretation mis-tie errors in a few minutes, while manual correction would take up to a few weeks. Furthermore, we have assessed the volumetric difference from the maps with and without mis-tie correction. The result shows that the preliminary interpretation with remaining mis-ties yields 9.02% less gross rock volume (GRV) than the actual GRV from the final mapping. Meanwhile, the resulting map from the automated mis-tie correction yields 2.93% different from the actual GRV. By reducing volumetric uncertainty, the automated interpretation mis-tie corrector could lead to better decision-making on block evaluation/acquisition, well planning, and field development.
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