Passive seismic imaging of subsurface natural fractures: Application to Marcellus shale microseismic data

Chao Huang, Tieyuan Zhu

Research output: Contribution to journalArticle

Abstract

Imaging and characterizing subsurface natural fractures that are common in the Earth crust has been a long-sought goal in seismology. We present an application of a 3-D passive seismic fracture imaging method applied to Marcellus shale microseismic data for mapping natural fractures. Unlike conventional seismic imaging methods that need source information, the proposed imaging method does not require source information and is flexible enough to apply to any passive seismic data where the source location is unknown or inaccurate. We first test our imaging approach using surface microseismic monitoring array data in 3-D synthetic examples. The finite-Aperture fractures are designed by an open-source discrete fracture network software. Compared to conventional source-dependent fracture imaging, the proposed source-independent imaging approach produces superior images of fractures with less ambiguity. These tests also illustrate that the proposed method is less sensitive to the accuracy of background velocity and less affected by the sparse and irregular acquisition geometry which often cause acquisition-footprint issues in convention imaging methods. The final test in the field microseismic data from the Marcellus Shale (Pennsylvania) demonstrates the applicability of the proposed imaging method. Field data results indicate two clusters of east-northeast fractures existed above and below the hydraulic fracturing zone, which corroborates previous work that found two main types of faults in the study area.

Original languageEnglish (US)
Article number214
Pages (from-to)1087-1099
Number of pages13
JournalGeophysical Journal International
Volume218
Issue number2
DOIs
StatePublished - May 2 2019

Fingerprint

imaging method
Shale
shale
Imaging techniques
fracture aperture
acquisition
fracture network
seismology
footprint
Seismology
Earth crust
fracturing
seismic data
footprints
Hydraulic fracturing
hydraulics
ambiguity
software
geometry
apertures

All Science Journal Classification (ASJC) codes

  • Geophysics
  • Geochemistry and Petrology

Cite this

@article{b273ec1555444ffb81e38b804f28a311,
title = "Passive seismic imaging of subsurface natural fractures: Application to Marcellus shale microseismic data",
abstract = "Imaging and characterizing subsurface natural fractures that are common in the Earth crust has been a long-sought goal in seismology. We present an application of a 3-D passive seismic fracture imaging method applied to Marcellus shale microseismic data for mapping natural fractures. Unlike conventional seismic imaging methods that need source information, the proposed imaging method does not require source information and is flexible enough to apply to any passive seismic data where the source location is unknown or inaccurate. We first test our imaging approach using surface microseismic monitoring array data in 3-D synthetic examples. The finite-Aperture fractures are designed by an open-source discrete fracture network software. Compared to conventional source-dependent fracture imaging, the proposed source-independent imaging approach produces superior images of fractures with less ambiguity. These tests also illustrate that the proposed method is less sensitive to the accuracy of background velocity and less affected by the sparse and irregular acquisition geometry which often cause acquisition-footprint issues in convention imaging methods. The final test in the field microseismic data from the Marcellus Shale (Pennsylvania) demonstrates the applicability of the proposed imaging method. Field data results indicate two clusters of east-northeast fractures existed above and below the hydraulic fracturing zone, which corroborates previous work that found two main types of faults in the study area.",
author = "Chao Huang and Tieyuan Zhu",
year = "2019",
month = "5",
day = "2",
doi = "10.1093/gji/ggz214",
language = "English (US)",
volume = "218",
pages = "1087--1099",
journal = "Geophysical Journal International",
issn = "0956-540X",
publisher = "Wiley-Blackwell",
number = "2",

}

Passive seismic imaging of subsurface natural fractures : Application to Marcellus shale microseismic data. / Huang, Chao; Zhu, Tieyuan.

In: Geophysical Journal International, Vol. 218, No. 2, 214, 02.05.2019, p. 1087-1099.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Passive seismic imaging of subsurface natural fractures

T2 - Application to Marcellus shale microseismic data

AU - Huang, Chao

AU - Zhu, Tieyuan

PY - 2019/5/2

Y1 - 2019/5/2

N2 - Imaging and characterizing subsurface natural fractures that are common in the Earth crust has been a long-sought goal in seismology. We present an application of a 3-D passive seismic fracture imaging method applied to Marcellus shale microseismic data for mapping natural fractures. Unlike conventional seismic imaging methods that need source information, the proposed imaging method does not require source information and is flexible enough to apply to any passive seismic data where the source location is unknown or inaccurate. We first test our imaging approach using surface microseismic monitoring array data in 3-D synthetic examples. The finite-Aperture fractures are designed by an open-source discrete fracture network software. Compared to conventional source-dependent fracture imaging, the proposed source-independent imaging approach produces superior images of fractures with less ambiguity. These tests also illustrate that the proposed method is less sensitive to the accuracy of background velocity and less affected by the sparse and irregular acquisition geometry which often cause acquisition-footprint issues in convention imaging methods. The final test in the field microseismic data from the Marcellus Shale (Pennsylvania) demonstrates the applicability of the proposed imaging method. Field data results indicate two clusters of east-northeast fractures existed above and below the hydraulic fracturing zone, which corroborates previous work that found two main types of faults in the study area.

AB - Imaging and characterizing subsurface natural fractures that are common in the Earth crust has been a long-sought goal in seismology. We present an application of a 3-D passive seismic fracture imaging method applied to Marcellus shale microseismic data for mapping natural fractures. Unlike conventional seismic imaging methods that need source information, the proposed imaging method does not require source information and is flexible enough to apply to any passive seismic data where the source location is unknown or inaccurate. We first test our imaging approach using surface microseismic monitoring array data in 3-D synthetic examples. The finite-Aperture fractures are designed by an open-source discrete fracture network software. Compared to conventional source-dependent fracture imaging, the proposed source-independent imaging approach produces superior images of fractures with less ambiguity. These tests also illustrate that the proposed method is less sensitive to the accuracy of background velocity and less affected by the sparse and irregular acquisition geometry which often cause acquisition-footprint issues in convention imaging methods. The final test in the field microseismic data from the Marcellus Shale (Pennsylvania) demonstrates the applicability of the proposed imaging method. Field data results indicate two clusters of east-northeast fractures existed above and below the hydraulic fracturing zone, which corroborates previous work that found two main types of faults in the study area.

UR - http://www.scopus.com/inward/record.url?scp=85068585375&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85068585375&partnerID=8YFLogxK

U2 - 10.1093/gji/ggz214

DO - 10.1093/gji/ggz214

M3 - Article

AN - SCOPUS:85068585375

VL - 218

SP - 1087

EP - 1099

JO - Geophysical Journal International

JF - Geophysical Journal International

SN - 0956-540X

IS - 2

M1 - 214

ER -