Abstract

Abstract Estimation of total porosity from neutron and density porosity logs in organic shale (source rock) is challenging because these logs are substantially affected by fluid and matrix-composition effects. Conventional interpretation of neutron and density porosity logs often includes corrections for shale concentration in which the main objective is to improve the calculation of non-shale porosity in hydrocarbon-bearing zones. Neutron and density porosity readings across shale zones are typically averaged using the root-mean-square (RMS) method. We introduce a new and simple analytical expression for total porosity that effectively separates both matrix and fluid effects on neutron and density porosity logs. The expression stems from a new nonlinear mixing law for neutron migration length that is coupled with the linear density mixing law to calculate total porosity and fluid density. The method is applied in two sequential steps: first, separate corrections for only matrix effects are implemented to enhance the neutron-density crossover for qualitative interpretation of fluid type. Next, the coupled equation is used to estimate fluid density and actual porosity devoid of matrix and fluid effects. Calculated porosity and fluid density can be further used to calculate water saturation from density logs. One remarkable feature of this method is the ease with which it can be applied to obtain accurate and reliable results. Application of the method only requires knowledge of single-component nuclear properties and mineral volumetric concentrations. Nuclear properties can be obtained from a set of charts for multiple fluid types and minerals provided in this paper, while mineral concentrations can be calculated based on available triple combo logs or gamma-ray spectroscopy logs. Two synthetic and four field examples (two conventional and two shale-gas reservoirs) are used to test the method. Firstly, we describe an application in a conventional siliciclastic sedimentary sequence where only shale concentration calculated from gamma-ray logs is required to improve the estimation of porosity in shaly sections. Second, we document several applications in which gamma-ray spectroscopy logs are used together with a reliable hypothesis for clay type to define mineral properties. Results compare well to NMR and core measurements, and the new method outperforms the conventional RMS procedure, especially in the cases of gas-bearing, low-porosity organic shale. The new analytical method can be readily implemented on an Excel spreadsheet and requires minimal adjustments for its implementation.

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