Application of geophysical techniques based on multi-attribute inversion in predicting high-quality source rocks

Abstract

Total organic carbon (TOC) content is an important indicator for evaluating the quality of source rocks. Conventional laboratory analysis and testing, single well interpretation, and other methods are limited by sample data or the number of well locations, and cannot comprehensively and accurately predict the planar distribution of TOC content in source rocks. Based on this, a method for predicting TOC content using seismic inversion with multiple attributes is proposed. The basis for applying seismic attributes to study TOC of source rocks is the inherent relationship between seismic and logging data. By using logging data to calculate TOC, the correlation between seismic attributes of well side seismic traces and logging is established, and seismic attributes are converted into TOC of source rocks. The results show that the TOC content in the third section of the Shahejie Formation of the Liaohe Depression is relatively high, distributed in the range of 1% to 5%. The trend of planar variation is manifested as a gradual decrease from the centre of the depression to both sides, and the centre is concentrated in the Panshan and Qingshui area. The overall prediction effect is good, proving the strong feasibility of this method.