Combining Surface and Downhole Microseismic Monitoring: A Multi-Well Completion in Oman
Authors: Le Calvez J. , Zhang J. , Harrasi O. , El-Taha Y-C. , Yarubi S. , Busaidi S. , Eltilib M. , El Gihani M. A. , Al-Wadhahi T. 
Published: November 2015

Abstract
Microseismic monitoring has become a standard industry technique to monitor stimulation effectiveness as it provides information as to the length, height and orientation of the mapped hydraulically-stimulated fracture network and surrounding formations. In some cases, focal mechanisms may be extracted as well, providing additional insight into the geomechanical behavior of the reacting formation in relation to the spatial and temporal evolution of the hydraulically-stimulated fracture network.
Though there is much to learn from the interaction between sensor selection, survey design, operation, etc., in this work, we focus on the surface processing of a microseismic monitoring campaign performed in the Sultanate of Oman in 2015 ultimately comparing surface-derived results with downhole-derived results and the impact of joint inversion combining both surface and downhole data.
Given the operation parameters (e.g., wells to be monitored, formation velocities, spread limitations, completion schedule, and monitoring objectives) a pre-job modeling exercise took place to design the most effective surface and downhole monitoring array configuration. On site surveying was carried-out to ensure all health, safety and environment-related aspects were covered prior to and during the acquisition over a 67-day-long period. At the end of each stimulation, datasets acquired were processed in the office prior to results interpretation and integration with multi-domain data.
For the data acquired with the surface array, processing steps start with pre-processing including noise conditioning (e.g., filtering and spectral whitening) and grouping (i.e., stacking and beamforming). An iterative velocity model building and calibration exercise is performed using an initial model derived from well logs, surface surveys, check-shot data and, picking of accurate perforation shot timing (and large magnitude events). Events are detected and located using a source scanning approach prior to be manually inspected and relocated as needed during a quality check and editing phase. Additional refinement of the hypocenters takes place during the moment tensor inversion exercise prior to a final quality check and editing. Both a linear (detection) and an iterative (inversion) workflows are used to ensure optimal event location accuracy and moment tensor inversion.
Final results indicate that overall hypocentral locations derived from the surface array and the downhole array match relatively well. The integrated processing results show good agreement with the downhole-only results in the vertical dimension. Though some stages do not yield many events for reasons to be investigated (i.e., processing vs. rupture mechanism vs. completion scheme, etc.), overall mapped hypocenters highlight features aligning with the overall N50 maximum stress direction confirming the drilling pattern implemented and providing additional insight as to potential improvements. Some stages do not locate exactly where expected bringing additional value to the overall monitoring exercise and calling for in-depth understanding of the formation behavior. Moment tensor results come from the surface data only, highlighting predominantly strike-slip events with some elements showing large opening components.
Future monitoring campaigns are considered using improvements provided by recently gained information (e.g., spatical noise pattern, energy radiation, effectiveness of channel count and distribution, etc.)