Fractal Characteristic and Geological Meaning of Fault and Fracture
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摘要: 在详细剖析断裂和裂缝组成和结构相似性的基础上, 计算了贝尔断陷T5和T2两层构造图上断裂信息维和10口井布达特群岩心裂缝信息维, 分析了影响断裂和裂缝信息维的因素, 达到了从断裂信息维去预测裂缝分布的目的.影响断裂和裂缝信息维的因素包括密度、延伸长度、断层性质以及岩性, 但从根本上讲断层性质及岩性对信息维影响体现在断裂的密度上, 因此信息维应该是断裂发育程度的度量, 利用断裂信息维与裂缝信息维关系、裂缝信息维与裂缝密度关系预测裂缝的分布, 有利的裂缝发育带有3个区域, 与现今见油气井分布吻合.Abstract: Based on the analysis of the forms and the comparability in configuration of fault and fracture, the information dimension of faults on tectonic map T5, T2 and that of fracture in ten cores from research formation J3b were calculated, then the factors affecting their information dimension were analyzed, finally, the distribution of fracture in the research region is predicted. These affecting factors include density, extend, properties of faults and lithology. However, the effects from the properties of faults and lithology are concentrated on density of fault and fracture, so the information dimension is a measurement for to what extent faults have developed. The distribution area of fracture was forecasted two relations: one is the relationship between information dimension of faults, the other is the relationship between the information dimension and density of fracture, three favorable fracture-developed areas were sketched, which turned out to be in accordance with the distribution of commercial wells.
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Key words:
- fault /
- fracture /
- information dimension /
- affecting factors /
- favorable fracture-developed area
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图 3 断裂和裂缝面密度与其信息维关系
Fig. 3. Relation between surface density of fracture and fault and their information dimension
图 4 断裂长度与信息维关系(a)和不同岩性裂缝信息维分布(b)
Fig. 4. Relation between fault length and information dimension (a) and distribution of information dimension of fracture with different lithology (b)
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