Results 161 to 170 of about 23,608,882 (224)
Research on rock burst prediction based on an integrated model. [PDF]
Sci RepZhang J +7 more
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Deep Denoising of Wavefront Sensor Signals via Physics-Aware Dual-Channel Decoupled Network (PRISM). [PDF]
Sensors (Basel)Ma J, Pan Y, Fan Y, Wang H, Su J.
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Locating microseismic events using borehole data
Geophysical Prospecting, 2013 ABSTRACTConstraining microseismic hypocentres in and around hydrocarbon reservoirs and their overburdens is essential for the monitoring of deformation related to hydraulic fracturing, production and injection and the assessment of reservoir security for CO2 and wastewater storage. Microseismic monitoring in hydrocarbon reservoirs can be achieved via a
Jones, G. A. +3 more
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The Advantage of Incorporating Microseismic Data into Fracture Models
Canadian Unconventional Resources Conference, 2011 Abstract The Canadian sedimentary basin has long been exploited using vertical well-completion techniques, sometimes producing from multiple formation zones. With recent advancements in horizontal drilling and multistage-completion techniques, horizontal wells are quickly replacing vertical completions as the completion method of choice ...
J. Shaffner +4 more
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Efficient mine microseismic monitoring
International Journal of Coal Geology, 2005 During the past 20 years, the microseismic technique has grown from a pure research means for rockburst study to a basic industrial tool for daily safety monitoring at rockburst-prone mines.
Maochen Ge
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Multicomponent microseismic data denoising by 3D shearlet transform
Geophysics, 2018 The low-magnitude microseismic signals generated by fracture initiation are generally buried in strong background noise, which complicates their interpretation. Thus, noise suppression is a significant step. We have developed an effective multicomponent,
Mirko van der Baan, Chao Zhang
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Interferometric Imaging of Microseismic Data
International Meeting for Applied Geoscience & Energy, 2015Summary Interferometric imaging of microseismic data can provide high-resolution images of the subsurface. Each microseismic event can be used as a seismic source to image the subsurface in the vicinity of the event location. Combining thousands of events yields a three-dimensional image with a resolution on the order of a few feet ...
Steve Cole +7 more
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Noise suppression in surface microseismic data
The Leading Edge, 2012We introduce a passive noise suppression technique, based on the τ − p transform. In the τ − p domain, one can separate microseismic events from surface noise based on distinct characteristics that are not visible in the time-offset domain. By applying the inverse τ − p transform to the separated microseismic event, we suppress the surface noise in the
Farnoush Forghani-Arani +5 more
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2020
We discuss the elements of a generalized processing workflow for a single well geometry. Key elements of the processing workflow including data loading, filtering, event detection, arrival picking, velocity model building, hypocenter location and magnitude estimation are explained in detail.
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We discuss the elements of a generalized processing workflow for a single well geometry. Key elements of the processing workflow including data loading, filtering, event detection, arrival picking, velocity model building, hypocenter location and magnitude estimation are explained in detail.
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Microseismic Data Interpretation
2020We review the value of information retrieved from microseismic data sets in the unconventional resource development. We explain the key information that can be extracted by using microseismic, seismic, well logs, geological and engineering data individually.
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