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Seismic reservoir and source-rock analysis using inverse rock-physics modeling: A Norwegian Sea demonstration

机译:利用逆岩石物理模型进行地震储层和烃源岩分析:挪威海示范

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摘要

Identifying type of rocks and fluids from seismic-amplitude anomalies can be challenging because of seismic nonuniqueness and rock-physics ambiguities. Lithology and fluid predictions based on seismic properties therefore are often associated with uncertainties. On the Norwegian Shelf, clay-rich source rocks and hydrocarbon-filled sandstones often show similar AVO responses. A seismic screening method based on rock physics enables one to better discriminate between these different facies. This technique is demonstrated on seismic AVO data (i.e., acoustic impedance [AI] and VP/VS) from the Norwegian Sea. Rock-physics models for organic-rich shales and gas sandstones are calibrated using nearby well data. Then these models are used for predictions of rock parameters away from well locations. From these predictions, the likelihood of presence of organic-rich shales versus gas sandstones can be evaluated, based on a rock-physics approach. However, there are many uncertainties in the accuracy of the calibrated models and the seismic image of the target area. Hence, predictions should be evaluated along with other geologic and geophysical information before firm conclusions about these anomalies are made.
机译:由于地震的非唯一性和岩石物理学的含混性,从地震振幅异常中识别岩石和流体的类型可能具有挑战性。因此,基于地震特性的岩性和流体预测通常与不确定性相关。在挪威大陆架上,富含粘土的烃源岩和充满烃的砂岩常常表现出相似的AVO响应。一种基于岩石物理学的地震筛查方法可以更好地区分这些不同的相。挪威海域的地震AVO数据(即声阻抗[AI]和VP / VS)证明了该技术。使用附近的井数据对富含有机物的页岩和天然气砂岩的岩石物理模型进行校准。然后将这些模型用于预测远离井眼位置的岩石参数。根据这些预测,可以基于岩石物理学方法评估富含有机质的页岩相对于天然气砂岩的可能性。但是,校准模型的精度和目标区域的地震图像存在许多不确定性。因此,在做出关于这些异常的确切结论之前,应将预测与其他地质和地球物理信息一起进行评估。

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