Improved Location of Microseismic Events in Borehole Monitoring by Inclusion of Particle Motion Analysis: a Case Study at a CBM Field in Indonesia

Southeast Asian Conference on Geophysics

Verdhora Ry, Rexha^1 ; Septyana, T.^1,3 ; Widiyantoro, S.^2 ; Nugraha, A.D.^2 ; Ardjuna, A.^4

Graduate Program of Geophysical Engineering, Faculty of Mining and Petroleum Engineering, Institut Teknologi Bandung, Ganesha 10, Bandung

40132, Indonesia^1

Global Geophysics Research Group, Faculty of Mining and Petroleum Engineering, Institut Teknologi Bandung, Ganesha 10, Bandung

40132, Indonesia^2

BP Indonesia, Indonesia^3

SKK Migas Indonesia, Indonesia^4

关键词: CCS(carbon capture and storage);    Coherent structure;    Fracture stimulation;    Grid-search method;    Hydrocarbon reservoir;    Hypocenter location;    Microseismic events;    Vertical borehole;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/62/1/012025/pdf
DOI  :  10.1088/1755-1315/62/1/012025

来源: IOP

【 摘 要 】

Microseismic monitoring and constraining its hypocenters in and around hydrocarbon reservoirs provides insight into induced deformation related to hydraulic fracturing. In this study, we used data from a single vertical array of sensors in a borehole, providing measures of arrival times and polarizations. Microseismic events are located using 1-D velocity models and arrival times of P- and S-waves. However, in the case of all the sensors being deployed in a near-vertical borehole, there is a high ambiguity in the source location. Herein, we applied a procedure using azimuth of P-wave particle motion to constrain and improve the source location. We used a dataset acquired during 1-day of fracture stimulation at a CBM field in Indonesia. We applied five steps of location procedure to investigate microseismic events induced by these hydraulic fracturing activities. First, arrival times for 1584 candidate events were manually picked. Then we refined the arrival times using energy ratio method to obtain high consistency picking. Using these arrival times, we estimated back-azimuth using P-wave polarization analysis. We also added the combination of polarities analysis to remove 180°ambiguity. In the end, we determined hypocenter locations using grid-search method that guided in the back-azimuth trace area to minimize the misfit function of arrival times. We have successfully removed the ambiguity and produced a good solution for hypocenter locations as indicated statistically by small RMS. Most of the events clusters highlight coherent structures around the treatment well site and revealed faults. The same procedure can be applied to various other cases such as microseismic monitoring in the field of geothermal and shale gas/oil exploration, also CCS (Carbon Capture and Storage) development.