Oil Detection Based on Layer Buried-Depth Corrected Elastic Inversion in Deepwater of the Pearl River Basin

Abstract

Because of the high drilling expense and fewer wells having been drilled in Deepwater of the Pearl River Basin, the complexity and difficulty of oil and gas exploration in this area always restrict our development procedure. In order to overcome these problems in oil and gas exploration, this paper will propose a comprehensive and feasiable approach, which makes full use of both well logging data and seisimic data and combine techniques of rock physical modelling and seismic pre-stack inversion. Such a well-orgnised technical system searching is conducive to reduce exploration risk and promote success rate of hydrocarbon discovery. To illustrate the overall implementation procedure, a case study is applied and composed by 3 corresponding aspects: (1) based on well elastic parameters analysis, LamdaRho (Lame coefficient* Density) is inferred as the sensitive parameter of reservoir and hydrocarbon; (2) With the help of rock physic modeling and fluid substitution, we confirm that LMR is the most sensitive hydrocarbon parameter, and the LMR response varies from substituted fluid type;(3) Considering the difference of layer's buried-depth between evaluated structure and drilled wells, a buried depth correction is applied to eliminate its caused uncertainty of hydrocarbon predition.