Injection‐Induced Seismicity and Fault‐Slip Potential in the Fort Worth Basin, Texas

2019 ◽  
Vol 109 (5) ◽  
pp. 1615-1634 ◽  
Author(s):  
Peter H. Hennings ◽  
Jens‐Erik Lund Snee ◽  
Johnathon L. Osmond ◽  
Heather R. DeShon ◽  
Robin Dommisse ◽  
...  

Abstract The rate of seismicity in the hydrocarbon‐producing Fort Worth Basin of north‐central Texas, which underlies the Dallas–Fort Worth metropolitan area, increased markedly from 2008 through 2015, coinciding spatiotemporally with injection of 2 billion barrels of wastewater into deep aquifers. Although the rate of seismicity has declined with injection rates, some earthquake sequences remained active in 2018 and new clusters have developed. Most of this seismicity occurred away from regionally mapped faults, challenging efforts to constrain the continuing hazards of injection‐induced seismicity in the basin. Here, we present detailed new models of potentially seismogenic faults and the stress field, which we use to build a probabilistic assessment of fault‐slip potential. Our new fault map, based on reflection seismic data, tens of thousands of well logs, and outcrop characterization, includes 251 basement‐rooted normal faults that strike dominantly north‐northeast, several of which extend under populated areas. The updated stress map indicates a relatively consistent north‐northeast–south‐southwest azimuth of the maximum horizontal principal stress over seismically active parts of the basin, with a transition from strike‐slip faulting in the north to normal faulting in the southeast. Based on these new data, our probabilistic analysis shows that a majority of the total trace length of the mapped faults have slip potential that is equal to or higher than that of the faults that have already hosted injection‐induced earthquake sequences. We conclude that most faults in the system are highly sensitive to reactivation, and we postulate that many faults are still unidentified. Ongoing injection operations in the region should be conducted with these understandings in mind.

2019 ◽  
Vol 109 (4) ◽  
pp. 1203-1216 ◽  
Author(s):  
Louis Quinones ◽  
Heather R. DeShon ◽  
SeongJu Jeong ◽  
Paul Ogwari ◽  
Oner Sufri ◽  
...  

Abstract Since 2008, earthquake sequences within the Fort Worth basin (FWB), north Texas, have been linked to wastewater disposal activities related to unconventional shale‐gas production. The North Texas Earthquake Study (NTXES) catalog (2008–2018), described and included herein, uses a combination of local and regional seismic networks to track significant seismic sequences in the basin. The FWB earthquakes occur along discrete faults that are relatively far apart (>30  km), allowing for more detailed study of individual sequence development. The three largest sequences (magnitude 3.6+) are monitored by local seismic networks (<15  km epicentral distances), whereas basinwide seismicity outside these three sequences is monitored using regional distance stations. A regional 1D velocity model for the FWB reflects basinwide well log, receiver function, and regional crustal structure studies and is modified for the larger individual earthquake sequences using local well‐log and geology data. Here, we present an mb_Lg relationship appropriate for Texas and a basin‐specific ML relationship, both calculated using attenuation curves developed with the NTXES catalog. Analysis of the catalog reveals that the earthquakes generally occur within the Precambrian basement formation along steeply dipping normal faults, and although overall seismicity rates have decreased since 2016, new faults have become active. Between 2006 and 2018, more than 2 billion barrels of fluids were injected into the Ellenburger formation within the FWB. We observe strong spatial and temporal correlations between the earthquake locations and wastewater disposal well locations and injection volumes, implying that fluid injection activities may be the main driving force of seismicity in the basin. In addition, we observe seismicity occurring at greater distances from injection wells (>10  km) over time, implying that far‐field stress changes associated with fluid injection activities may be an important component to understanding the seismic hazard of induced seismicity sequences.


2020 ◽  
Author(s):  
Bing Q. Li ◽  
Jean-Philippe Avouac ◽  
Zachary E. Ross ◽  
Jing Du ◽  
Estelle Rebel

AAPG Bulletin ◽  
2005 ◽  
Vol 89 (2) ◽  
pp. 155-175 ◽  
Author(s):  
Scott L. Montgomery ◽  
Daniel M. Jarvie ◽  
Kent A. Bowker ◽  
Richard M. Pollastro

Geophysics ◽  
2010 ◽  
Vol 75 (4) ◽  
pp. B157-B168 ◽  
Author(s):  
Olubunmi O. Elebiju ◽  
G. Randy Keller ◽  
Kurt J. Marfurt

Effective hydraulic fracturing is critical for generating permeability within the Barnett Shale of the Fort Worth basin (FWB). Therefore, knowledge of the nature of the induced and natural fractures, faults, and collapse features that may form conduits to the underlying Ellenburger aquifer is vital. We use coherence and curvature seismic attributes, which are sensitive to faults, fractures, and collapse features, to map sedimentary features. We then integrate high-resolution aeromagnetic (HRAM) data with the seismic attributes extracted along the Ellenburger Formation and the top of basement from the north-central portion of the FWB, thereby linking features in the Precambrian basement to shallower sedimentary structures. HRAM-derived maps, designed to enhance basement structures, confirm that much of the sedimentary faulting is basement controlled. Specifically, attribute lineaments are aligned parallel to HRAM anomaly lineaments, consistent with regional tectonics. The northeast-southwest and northwest-southeast orientations of folds and faults in the sedimentary section parallel the northeast-trending Ouachita orogenic belt and the northwest-trending Muenster arch, which in turn correlate with reactivated Cambrian/late Precambrian basement faults. Mapping such features can aid in the design of the hydraulic fracture program and ability to predict structurally deformed areas of the basin.


Fact Sheet ◽  
2015 ◽  
Author(s):  
Kristen R. Marra ◽  
Ronald R. Charpentier ◽  
Christopher J. Schenk ◽  
Michael D. Lewan ◽  
Heidi M. Leathers-Miller ◽  
...  

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