skip to main content
DOE PAGES title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Sequential geophysical and flow inversion to characterize fracture networks in subsurface systems

Abstract

Subsurface applications, including geothermal, geological carbon sequestration, and oil and gas, typically involve maximizing either the extraction of energy or the storage of fluids. Fractures form the main pathways for flow in these systems, and locating these fractures is critical for predicting flow. However, fracture characterization is a highly uncertain process, and data from multiple sources, such as flow and geophysical are needed to reduce this uncertainty. We present a nonintrusive, sequential inversion framework for integrating data from geophysical and flow sources to constrain fracture networks in the subsurface. In this framework, we first estimate bounds on the statistics for the fracture orientations using microseismic data. These bounds are estimated through a combination of a focal mechanism (physics-based approach) and clustering analysis (statistical approach) of seismic data. Then, the fracture lengths are constrained using flow data. In conclusion, the efficacy of this inversion is demonstrated through a representative example.

Authors:
ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1]
  1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Publication Date:
Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE Laboratory Directed Research and Development (LDRD) Program
OSTI Identifier:
1394967
Report Number(s):
LA-UR-16-20968
Journal ID: ISSN 1932-1864
Grant/Contract Number:  
AC52-06NA25396
Resource Type:
Accepted Manuscript
Journal Name:
Statistical Analysis and Data Mining
Additional Journal Information:
Journal Volume: 10; Journal Issue: 5; Conference: Conference on Data Analysis, Santa Fe, NM (United States), 2-4 Mar 2016; Journal ID: ISSN 1932-1864
Publisher:
Wiley
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; sequential inversion, multiple datastreams, geophysics, flow, fracture, subsurface modeling, clustering analysis, k-means clustering, Latin hypercube sampling, elbow method.

Citation Formats

Mudunuru, Maruti Kumar, Karra, Satish, Makedonska, Nataliia, and Chen, Ting. Sequential geophysical and flow inversion to characterize fracture networks in subsurface systems. United States: N. p., 2017. Web. doi:10.1002/sam.11356.
Mudunuru, Maruti Kumar, Karra, Satish, Makedonska, Nataliia, & Chen, Ting. Sequential geophysical and flow inversion to characterize fracture networks in subsurface systems. United States. doi:10.1002/sam.11356.
Mudunuru, Maruti Kumar, Karra, Satish, Makedonska, Nataliia, and Chen, Ting. Tue . "Sequential geophysical and flow inversion to characterize fracture networks in subsurface systems". United States. doi:10.1002/sam.11356. https://www.osti.gov/servlets/purl/1394967.
@article{osti_1394967,
title = {Sequential geophysical and flow inversion to characterize fracture networks in subsurface systems},
author = {Mudunuru, Maruti Kumar and Karra, Satish and Makedonska, Nataliia and Chen, Ting},
abstractNote = {Subsurface applications, including geothermal, geological carbon sequestration, and oil and gas, typically involve maximizing either the extraction of energy or the storage of fluids. Fractures form the main pathways for flow in these systems, and locating these fractures is critical for predicting flow. However, fracture characterization is a highly uncertain process, and data from multiple sources, such as flow and geophysical are needed to reduce this uncertainty. We present a nonintrusive, sequential inversion framework for integrating data from geophysical and flow sources to constrain fracture networks in the subsurface. In this framework, we first estimate bounds on the statistics for the fracture orientations using microseismic data. These bounds are estimated through a combination of a focal mechanism (physics-based approach) and clustering analysis (statistical approach) of seismic data. Then, the fracture lengths are constrained using flow data. In conclusion, the efficacy of this inversion is demonstrated through a representative example.},
doi = {10.1002/sam.11356},
journal = {Statistical Analysis and Data Mining},
number = 5,
volume = 10,
place = {United States},
year = {2017},
month = {9}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record

Citation Metrics:
Cited by: 3 works
Citation information provided by
Web of Science

Save / Share:

Works referenced in this record:

The Adequacy of Variable Subsets in Multivariate Regression
journal, November 1979


A review of b-value imaging and fractal dimension studies in the Andaman Sumatra subduction
journal, May 2014


Clustering Analysis of Seismicity and Aftershock Identification
journal, June 2008


Computational Geology 12 – Cramer's Rule and the Three-Point Problem
journal, September 2000


Consistent selection of the number of clusters via crossvalidation
journal, December 2010


Influence of injection mode on transport properties in kilometer-scale three-dimensional discrete fracture networks: INFLUENCE OF INJECTION MODE IN 3-D DFNs
journal, September 2015

  • Hyman, J. D.; Painter, S. L.; Viswanathan, H.
  • Water Resources Research, Vol. 51, Issue 9
  • DOI: 10.1002/2015WR017151

A cascading failure during the 24 May 2013 great Okhotsk deep earthquake
journal, April 2014

  • Chen, Yu; Wen, Lianxing; Ji, Chen
  • Journal of Geophysical Research: Solid Earth, Vol. 119, Issue 4
  • DOI: 10.1002/2013JB010926

Who belongs in the family?
journal, December 1953


Impact of velocity correlation and distribution on transport in fractured media: Field evidence and theoretical model
journal, February 2015

  • Kang, Peter K.; Le Borgne, Tanguy; Dentz, Marco
  • Water Resources Research, Vol. 51, Issue 2
  • DOI: 10.1002/2014WR015799

Data clustering: 50 years beyond K-means
journal, June 2010


Shear-wave splitting and reservoir crack characterization: the Coso geothermal field
journal, January 2003

  • Vlahovic, Gordana; Elkibbi, Maya; Rial, J. A.
  • Journal of Volcanology and Geothermal Research, Vol. 120, Issue 1-2
  • DOI: 10.1016/S0377-0273(02)00368-2

Cluster Validation by Prediction Strength
journal, September 2005

  • Tibshirani, Robert; Walther, Guenther
  • Journal of Computational and Graphical Statistics, Vol. 14, Issue 3
  • DOI: 10.1198/106186005X59243

Hydraulic fracture height limits and fault interactions in tight oil and gas formations: HYDRAULIC FRACTURE HEIGHTS LIMITS
journal, July 2013

  • Flewelling, Samuel A.; Tymchak, Matthew P.; Warpinski, Norm
  • Geophysical Research Letters, Vol. 40, Issue 14
  • DOI: 10.1002/grl.50707

Estimation of dispersion in orientations of natural fractures from seismic data: Application to DFN modeling and flow simulation
journal, December 2013

  • Michelena, Reinaldo J.; Godbey, Kevin S.; Wang, Huabing
  • The Leading Edge, Vol. 32, Issue 12
  • DOI: 10.1190/tle32121502.1

Joint structures determined by clustering microearthquakes using waveform amplitude ratios
journal, September 1996

  • Roff, A.; Phillips, W. S.; Brown, D. W.
  • International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts, Vol. 33, Issue 6
  • DOI: 10.1016/0148-9062(95)00077-1

dfnWorks: A discrete fracture network framework for modeling subsurface flow and transport
journal, November 2015


A Double-Difference Earthquake Location Algorithm: Method and Application to the Northern Hayward Fault, California
journal, December 2000

  • Waldhauser, F.
  • Bulletin of the Seismological Society of America, Vol. 90, Issue 6
  • DOI: 10.1785/0120000006

Rock-water interactions in the Fenton Hill, New Mexico, hot dry rock geothermal systems. II. Modeling geochemical behavior
journal, January 1989


Statistical analysis for the hydrogeological evaluation of the fracture networks in hard rocks
journal, February 2006


Conforming Delaunay Triangulation of Stochastically Generated Three Dimensional Discrete Fracture Networks: A Feature Rejection Algorithm for Meshing Strategy
journal, January 2014

  • Hyman, Jeffrey D.; Gable, Carl W.; Painter, Scott L.
  • SIAM Journal on Scientific Computing, Vol. 36, Issue 4
  • DOI: 10.1137/130942541

Nonlinear multidimensional scaling and visualization of earthquake clusters over space, time and feature space
journal, January 2005

  • Dzwinel, W.; Yuen, D. A.; Boryczko, K.
  • Nonlinear Processes in Geophysics, Vol. 12, Issue 1
  • DOI: 10.5194/npg-12-117-2005

A Review of Some Rock Mechanics Issues in Geothermal Reservoir Development
journal, May 2012


Characterizing flow and transport in fractured geological media: A review
journal, August 2002


Topological characteristics of simple and complex normal fault networks
journal, March 2016


An efficient k-means clustering algorithm: analysis and implementation
journal, July 2002

  • Kanungo, T.; Mount, D. M.; Netanyahu, N. S.
  • IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 24, Issue 7
  • DOI: 10.1109/TPAMI.2002.1017616

Sequential approach to joint flow-seismic inversion for improved characterization of fractured media: SEQUENTIAL APPROACH TO JOINT FLOW-SEISMIC INVERSION
journal, February 2016

  • Kang, Peter K.; Zheng, Yingcai; Fang, Xinding
  • Water Resources Research, Vol. 52, Issue 2
  • DOI: 10.1002/2015WR017412

Inversion of seismic reflection data in the acoustic approximation
journal, August 1984


Rock-water interactions in the Fenton Hill, new Mexico, hot dry rock geothermal systems I. fluid mixing and chemical geothermometry
journal, January 1989


An examination of procedures for determining the number of clusters in a data set
journal, June 1985

  • Milligan, Glenn W.; Cooper, Martha C.
  • Psychometrika, Vol. 50, Issue 2
  • DOI: 10.1007/BF02294245

Estimating the number of clusters in a data set via the gap statistic
journal, May 2001

  • Tibshirani, Robert; Walther, Guenther; Hastie, Trevor
  • Journal of the Royal Statistical Society: Series B (Statistical Methodology), Vol. 63, Issue 2, p. 411-423
  • DOI: 10.1111/1467-9868.00293

Particle tracking approach for transport in three-dimensional discrete fracture networks: Particle tracking in 3-D DFNs
journal, September 2015

  • Makedonska, Nataliia; Painter, Scott L.; Bui, Quan M.
  • Computational Geosciences, Vol. 19, Issue 5
  • DOI: 10.1007/s10596-015-9525-4

Fractal distribution of earthquake hypocenters and its relation to fault patterns and percolation
journal, April 1993

  • Sahimi, Muhammad; Robertson, Michelle C.; Sammis, Charles G.
  • Physical Review Letters, Vol. 70, Issue 14
  • DOI: 10.1103/PhysRevLett.70.2186

Intelligent Choice of the Number of Clusters in K-Means Clustering: An Experimental Study with Different Cluster Spreads
journal, March 2010


Effect of advective flow in fractures and matrix diffusion on natural gas production
journal, October 2015

  • Karra, Satish; Makedonska, Nataliia; Viswanathan, Hari S.
  • Water Resources Research, Vol. 51, Issue 10
  • DOI: 10.1002/2014WR016829

Inversion and attribute-assisted hydraulically induced microseismic fracture characterization in the North Texas Barnett Shale
journal, March 2011

  • Refunjol, Xavier E.; Marfurt, Kurt J.; Le Calvez, Joël H.
  • The Leading Edge, Vol. 30, Issue 3
  • DOI: 10.1190/1.3567260

An overview of full-waveform inversion in exploration geophysics
journal, November 2009


Fluid flow and solute transport in a network of channels
journal, November 1993


Detecting the Number of Clusters in n-Way Probabilistic Clustering
journal, November 2010

  • Zhaoshui He, ; Cichocki, Andrzej
  • IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 32, Issue 11
  • DOI: 10.1109/TPAMI.2010.15

Fractures, faults, and hydrocarbon entrapment, migration and flow
journal, August 2000


Finding the Number of Clusters in a Dataset: An Information-Theoretic Approach
journal, September 2003

  • Sugar, Catherine A.; James, Gareth M.
  • Journal of the American Statistical Association, Vol. 98, Issue 463
  • DOI: 10.1198/016214503000000666

Dispersed fluid flow in fractured reservoirs: An analysis of tracer-determined residence time distributions
journal, November 1984

  • Robinson, Bruce A.; Tester, Jefferson W.
  • Journal of Geophysical Research: Solid Earth, Vol. 89, Issue B12
  • DOI: 10.1029/JB089iB12p10374

Fracture transmissivity evolution due to silica dissolution/precipitation during geothermal heat extraction
journal, September 2015


K -Means Inverse Regression
journal, November 2004


Determining the Number of Clusters Using the Weighted Gap Statistic
journal, April 2007


Regression-based reduced-order models to predict transient thermal output for enhanced geothermal systems
journal, November 2017