AVA inversion for novel fluid indicator considering consolidation parameter

Abstract Geofluid identification from seismic data are crucial for understanding reservoir characteristics. However, fluid indicators based on elastic parameter combinations show strong ambiguity in terms of geofluid identification. Although the effective pore-fluid bulk modulus proves to be superior indicator discrimination, it is limited empirical models such as critical porosity model. The consolidation model can evaluate and compaction sediments widely used due its better applicability. Therefore, a novel considering proposed boundary-constrained inversion strategy developed. First, defined poroelasticity theory. Then, linearized AVA (amplitude variation with angle) approximation equation related new derived directly link properties pore-filling materials. analysis verifies accuracy at moderate incident angles, which prediction by pre-stack inversion. Furthermore, contribution each attribute reflectivity analyzed validate feasibility Finally, method presented enhance robustness results parameter. reliability improved proved accurate synthetic records. After determining using well-log combined BGT (Biot–Gassmann Theory), field further demonstrated that approach effective.