Prediction of reservoir properties for geomechanical analysis using 3-D seismic data and rock physics modeling in the Vaca Muerta Formation, Neuquén Basin, Argentina

Abstract

The Vaca Muerta Formation in the Neuquén Basin has recently received a lot of attention from oil companies interested in developing its shale resources. Early identification of potential zones with possible good production is extremely important to optimize the return on capital investment. Developing a work flow in shale plays that associates an effective hydraulic fracture response with the presence of hydrocarbons is crucial for economic success. The vertical and lateral heterogeneity of rock properties are critical factors that impact production. The integration of 3D seismic and well data is necessary for prediction of rock properties and identifies their distribution in the rock, which can also be integrated with geomechanical properties to model the rock response favorable to hydraulic stimulation. This study includes a 3D seismic survey and six vertical wells with full log suites in each well. The well logs allowed for the computation of a pre-stack model-based inversion which uses seismic data to estimate rock property volumes. An inverse relationship between P-impedance and Total Organic Content (TOC) was observed and quantified. Likewise, a direct relationship between P-impedance and volume of carbonate was observed. The volume of kerogen, type of clay, type of carbonate and fluid pressure all control the geomechanical properties of the formation when subject to hydraulic fracturing. Probabilistic Neural Networks were then used to predict the lateral and vertical heterogeneity of rock properties. TOC and volume of kerogen behaved as adequate indicators of possible zones with high presence of hydrocarbons. Meanwhile, the volume of carbonate was a valid indicator of brittle-ductile rock. The predicted density volume was used to estimate geomechanical properties (Young's Modulus and Poisson's Ratio) and to identify the zones that have a better response to hydraulic stimulation. During the analysis of geomechanical properties, Young's Modulus was observed to have a direct relationship with volume of carbonate and an inverse relationship with TOC, enabling the identification of brittle and ductile rocks zones. The analysis detected zones that had a good presence of hydrocarbons and brittle rock. The information was integrated with the analysis of geomechanical properties generating a model with the most possible zones of good production. This model will aid in the future exploration and development of the Vaca Muerta Formation.