Application of new rock physics method to estimate petrophysical properties

Author:

Shadlow James1ORCID

Affiliation:

1. KUFPEC Australia Perth Australia

Abstract

AbstractA new method for estimating petrophysical properties from elastic well log or seismic data is evaluated on data from the Carnarvon Basin, Northwest Australia. The study has utilized well and seismic inversion data covering part of the Triassic‐aged fluvio‐deltaic Mungaroo Formation on the Exmouth Plateau. The method applied is based on several recently published papers to use acoustic impedance, velocity ratio Vp/Vs and estimated constants to calculate clay volume (VCL), effective porosity and water saturation (SW). The case study showed exceptional results on well data. A strong match is observed between petrophysically derived VCL, effective porosity and SW and the estimates derived from elastic logs. When applied to seismic inversion volumes, pay in the wells is predicted from seismic, and porosity of the sands can be estimated with confidence. Petrophysical properties for nearby direct hydrocarbon indicator–supported prospects could also be evaluated, although an imprint of the direct hydrocarbon indicator was observed on the VCL prediction, and overall predictions are less than expected based on regional well results. Using these results, a minor modification is proposed to the equations used, and a workflow is derived to enable easy application to other projects. The modified approach was validated on the well data from the original publication. The results also indicate that the approach can be used to help identify erroneous synthetic Vs estimates in limited data settings.

Publisher

Wiley

Reference16 articles.

1. AVO inversion in exploration — Key learnings from a Norwegian Sea prospect

2. Fawad M.&Mondol N.H.(2022b)Rock physics model for fluid identification and saturation estimation in subsurface reservoirs application no. US 2022/0236438 A1.

3. Fawad M.&Mondol N.H.(2022c)Rock physics model for shale volume estimation in subsurface reservoirs. application no. US 2022/0236439 A1.

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