DESCRIPTION : Shale gas production in the Lower Haynesville is the main target for this study, located in Northwest Louisiana. Production from wells has been highly variable, leading to the use of 3D seismic for sweet spotting, well placement and to a lesser extent completion strategies. This abstract describes and shows results of a workflow integrating reservoir and geomechanical properties from pre-stack seismic inversion, as well as stress and fracture information, by applying a novel global azimuthal seismic inversion. The final key aspect of this flow is the quantitative validation of those attributes by the integration of other data types and sources: such as microseismic and mineralogy from x-ray scanning of cuttings. APPLICATIONS : Sweet Spot mapping, well location planning, frac planning, stress field analysis, well economics optimization. RESULTS AND CONCLUSIONS: Correlations between the size of the microseismic-based stimulated area and key properties such as Young's modulus and Differential Horizontal Stress Ratio exist. Correlations between Young's modulus and brittleness/ductility estimates derived from cuttings-based mineralogy are apparent. This is important along long laterals where only limited well log data is available. TECHNICAL CONTRIBUTIONS: To finalize the workflow, mineralogical and elemental data together with microseismic data have been integrated and used to validate the results of the seismically-derived properties. Interesting and perhaps significant correlations between the size of stimulated area and key properties such as Young's modulus and DHSR exist. Low DHSR and high Young's Modulus, taken together, correlate with wide zones of microseismic activity. Technology is continually being enhanced to improve exploitation of shale plays, in part by quantitatively integrating and interpreting data from wells, surface seismic, and microseismic. Integration of disciplines and data types and sources (including at different scales) is a key element in efforts to improve drilling and completion strategies, by examining how these relate to well production. No single attribute by itself is conclusive; multi-attribute analysis is required to derive physically meaningful correlations.

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