Velocity modeling and inversion techniques for locating microseismic events in unconventional reservoirs

Zhang, Jianzhong; Liu, Han; Zou, Zhen; Huang, Zhegang

doi:10.1007/s12583-015-0565-4

Cited by 11 publications

(3 citation statements)

References 25 publications

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“…In actual microseismic monitoring, the constrained knowledge of the geological formation often leads to obtaining a horizontal layered equivalent velocity model. This is typically achieved through the correction using perforation data with known true positions [26,27] or through the joint inversion of position and velocity [28,29]. Nevertheless, it may fall short of meeting the aforementioned requirements for the initial velocity model.…”

Section: Introductionmentioning

confidence: 99%

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Localization for surface microseismic monitoring based on arrival time correction and VFOM

Wang,

Xu,

et al. 2024

Meas. Sci. Technol.

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Unconventional resources have emerged as the primary source to meet the escalating demand for energy consumption, with hydraulic fracturing standing out as an effective means of boosting production. The utilization of microseismic monitoring is crucial for acquiring real-time or semi-real-time extension information of the fracture network to guide the fracturing process. The precise positioning of microseismic events is a fundamental aspect of microseismic monitoring. Traditional methods relying on (relative) arrival time significantly impact positioning accuracy due to picking errors. While waveform-based methods offer high accuracy, they require precise velocity models and are time-consuming. To overcome challenges associated with arrival time pickup and velocity accuracy, we introduce a virtual field optimization method (VFOM) based on arrival time correction. Initially, an equivalent velocity model is established, and the arrival time difference resulting from the model transformation of the master event is calculated to correct the observed arrival time of the target event. Subsequently, we match detector pairs, establish hyperboloids based on the corrected arrival time difference, and employ the intersection point of all hyperboloids as the positioning result. After that, we use the location results of the master event to enhance the accuracy of the target event. Finally, we apply the proposed method to both synthetic test and field datasets, demonstrating a significant improvement in the positioning accuracy and stability provided by the novel method. The robustness against arrival time error renders it a suitable choice for surface monitoring applications where signal quality is compromised. Furthermore, the simplified velocity model significantly diminishes the computational requirements in the positioning process, enhancing its efficiency, and consequently holds vast potential for application in real-time monitoring.

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Section: Introductionmentioning

confidence: 99%

“…Regrettably, the principle constrains its application solely to ideal homogeneous media. Previous research has indicated that neglecting the anisotropy of strata can result in unacceptable errors, and even mild anisotropy can markedly influence the localization of microseismic events [27].…”

Section: Introductionmentioning

confidence: 99%

Localization for surface microseismic monitoring based on arrival time correction and VFOM

Wang,

Xu,

et al. 2024

Meas. Sci. Technol.

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show abstract

“…Including information about anisotropy is essential for the location of microseismic events during the hydraulic fracturing, e.g., in gas/oil shale cases where strong VTI anisotropy (up to 30%) is commonly seen (Warpinski et al, 2009;Eisner et al, 2011;Li, 2013;Zhang et al, 2015). Due to only vertical sound speed or velocity known from the sonic logs or calibrated by perforation shots, the method becomes urgent and demanding to construct an effective anisotropic model.…”

Section: Introductionmentioning

confidence: 99%

Vertical slowness constrained joint VTI parameters and event locations inversion for microseismic monitoring

Yuan¹,

Han²,

Zhang³

2020

Preprint

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Gravitational Search Algorithm for Microseismic Source Location in Tunneling: Performance Analysis and Engineering Case Study

Jiang

2019

Rock Mech Rock Eng

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Velocity modeling and inversion techniques for locating microseismic events in unconventional reservoirs

Cited by 11 publications

References 25 publications

Localization for surface microseismic monitoring based on arrival time correction and VFOM

Localization for surface microseismic monitoring based on arrival time correction and VFOM

Vertical slowness constrained joint VTI parameters and event locations inversion for microseismic monitoring

Gravitational Search Algorithm for Microseismic Source Location in Tunneling: Performance Analysis and Engineering Case Study

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