Results 81 to 90 of about 701 (138)
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Collection of microseismic intensity data: a model for Turkey
Arabian Journal of Geosciences, 2021Among alternative descriptors of seismic effects, intensity is a significant measure. Along with the instrumental ground motion parameters, seismic intensity has been recently used extensively. Despite the subjectivity involved in their estimation, intensity values provide valuable information regarding the distribution of seismic effects. Correlations
Shaghayegh Karimzadeh, Aysegul Askan
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Geomechanical Reservoir Characterization with Microseismic Data
SPE Eastern Regional Meeting, 2013Abstract Bulk fluid injection into low permeability geologic formations been observed to trigger microearthquakes (MEQs). Triggering of MEQ events has been linked to pore pressure, temperature, and in-situ stress variations. The resulting clouds of micro-seismic events are believed to carry information about the underlying coupled flow ...
Mohammadali Tarrahi +2 more
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Data-acquisition design for microseismic monitoring
The Leading Edge, 2010Microseismic monitoring of hydraulic well treatments is one of the most useful seismic techniques that can aid the development of tight-gas and shale-gas fields. The main challenge in these fields is an extremely low formation permeability, which lies in the microdarcy or even nanodarcy range and requires thousands of closely spaced wells to drain the ...
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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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SNR Enhancement for Downhole Microseismic Data Using CSST
IEEE Geoscience and Remote Sensing Letters, 2016Noise contamination is a significant issue in microseismic data processing due to the low magnitude of high-frequency downhole microseismic signals induced during fluid injection. In this letter, a noncoherent noise attenuation technique based on cycle spinning shearlet transform (CSST) is presented. The CSST algorithm is implemented in three steps. In
Haitao Zhao 0003 +2 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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The Advantage of Incorporating Microseismic Data into Fracture Models
Canadian Unconventional Resources Conference, 2011Abstract 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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Completions and reservoir engineering applications of microseismic data
SEG Technical Program Expanded Abstracts 2014, 2014Evaluating hydraulic fracturing treatments by employing passive seismic monitoring technology has become an accepted industry practice and standard in the last decade foremost for unconventional resources. Due to microseismic monitoring it is now understood that the fracture created during hydraulic stimulation greatly deviates from the planar bi-wing ...
Carl W. Neuhaus +4 more
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ADIPEC, 2023
Abstract This study proposes a new workflow for analyzing microseismic data using causal inference techniques. This approach allows us to identify the causal relationships between a new microseismic event and its spatiotemporally proximal, prior microseismic events, while taking into account confounding variables that influence both the ...
Oliver Rojas Conde +2 more
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Abstract This study proposes a new workflow for analyzing microseismic data using causal inference techniques. This approach allows us to identify the causal relationships between a new microseismic event and its spatiotemporally proximal, prior microseismic events, while taking into account confounding variables that influence both the ...
Oliver Rojas Conde +2 more
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4D Tomography and Deformation from Microseismic Data
SEG Technical Program Expanded Abstracts 2015, 2015Microseismic data are used to calculate seismic deformation in response to hydraulic fracturing throughout a reservoir. This information is incorporated into a 4D tomography code that calculates changes in seismic velocity over the volume of the reservoir and as a function of time as deformation progresses.
J.W. Crowley +3 more
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