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Spectral component geologic modeling: A novel approach for integrating seismic data into geologic models

机译:频谱分量地质建模:一种将地震数据整合到地质模型中的新颖方法

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摘要

For many geologic models, a more accurate realization of the reservoir may result from the integration of seismic data interpretations. For many years, however, it has been recognized that it is difficult to properly account for the unique scale and precision of these interpretations. Generally, this problem results in models that fail to precisely honor the input data and the target constraints, particularly the vari-ogram model. Spectral component geologic modeling honors all input data. The compositional (phase) and continuity (amplitude) information contained within the interpreted spectral components is preserved in the constrained geologic model. Continuity as defined by the variogram model is also honored, but generally only for those frequencies that are not represented by the spectral components (e.g., the higher frequencies). The target lithofacies proportions are exactly honored in the final lithofacies model. One could argue that the seismic-data interpretations and the variogram model represent "soft" information; i.e., that our confidence in these data is limited, and therefore we should not exactly honor these inputs. However, what is our alternative? Should the model honor something other than our interpretations? Whether these inputs represent our single best interpretation of the reservoir or they represent one of multiple possible interpretations, the resulting geologic model should always precisely represent the input data, as it does with SCGM.
机译:对于许多地质模型,地震数据解释的集成可能会导致储层更准确的实现。然而,多年来,人们已经认识到,很难正确地解释这些解释的独特规模和准确性。通常,此问题导致无法精确遵守输入数据和目标约束的模型,尤其是可变图模型。光谱成分地质建模可以处理所有输入数据。解释的光谱成分中包含的成分(相位)和连续性(振幅)信息保存在受约束的地质模型中。还应遵守由变异函数模型定义的连续性,但通常只适用于那些频谱分量未表示的频率(例如较高的频率)。目标岩相比例在最终岩相模型中得到了很好的体现。有人可能会说,地震数据解释和变异函数模型代表的是“软”信息。也就是说,我们对这些数据的信心是有限的,因此我们不应该完全兑现这些输入。但是,我们可以选择什么呢?该模型是否应该尊重我们的解释以外的其他东西?无论这些输入代表我们对储层的最佳解释,还是代表多种可能的解释之一,生成的地质模型都应始终像SCGM一样精确地代表输入数据。

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