LAUSR

Abstract In this paper, a new method called sweet spot index (SSI) is proposed by the combination of shale oil mobility and shale reservoir fracability to predict the vertical distribution of shale oil sweet spots using conventional logs. In the SSI method, logging evaluation models for TOC, S1 (volatile petroleum), and mineral content are initially established. Mobile oil content is obtained by subtracting the amount of adsorbed oil from the total oil content, which is the S1 value after the recovery of light and heavy hydrocarbons. The adsorbed oil content is calculated based on the oil adsorption model established by a stepwise pyrolysis experiment. The formation fracability is estimated by a combination of estimates of brittle mineral content and Young's modulus. Formations with higher brittleness and lower Young's modulus are considered better simulation candidates. The SSI value is the product of the normalized mobility and the fracability index, which minimizes the section of just an organic matter sweet spot (i.e., high oil content) or an inorganic sweet spot (i.e., easily fractured) and has the advantage of accurately predicting its vertical distribution. In the case study, the new method is successfully implemented to predict sweet spots of the Es3L (lower sub member of the third member of the Eocene Shahejie Formation) in the Bonan Sag, Bohai Bay Basin, China. The lower limit value of SSI is set to 0.1 based on its relationship with shale oil production. The effectiveness, reliability and adaptability of the SSI method have been verified by three wells in the Bonan Sag.