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Hydraulic-fracture geometry characterization using low-frequency DAS signal

Ge Jin and Baishali Roy
Hydraulic-fracture geometry characterization using low-frequency DAS signal (in Geophysical applications of fiber-optic distributed sensing, Mark Willis (prefacer), Jonathan B. Ajo-Franklin (prefacer) and Baishali Roy (prefacer))
Leading Edge (Tulsa, OK) (December 2017) 36 (12): 975-980

Abstract

Monitoring and diagnosing completion during hydraulic-fracturing operations provides insight into the fracture geometry, interwell frac hits, and connectivity. Conventional monitoring methods (microseismic, pressure gauges, tracers, etc.) can provide a range of information about the stimulated rock volume but may often be limited in detail or clouded by uncertainty. Utilization of distributed acoustic sensing (DAS) as a fracture monitoring tool is growing; however, most of the applications have been limited to acoustic frequency bands of the DAS recorded signal. In this paper, we demonstrate some examples of using the low-frequency band of DAS signal to constrain hydraulic-fracture geometry. DAS data were acquired in both offset horizontal and vertical monitor wells. In horizontal wells, DAS data record formation strain perturbation due to fracture propagation. Events like fracture opening and closing, stress shadow creation and relaxation, ball seat, and plug isolation can be clearly identified. In vertical wells, DAS response agrees well with colocated pressure and temperature gauges, and illuminates the vertical extent of hydraulic fractures. We show that DAS data in the low-frequency band is a powerful attribute to monitor small strain and temperature perturbation in or near the monitor wells. With different fibered monitor well design, we can measure the far-field fracture length, height, width, and density using crosswell DAS observations.


ISSN: 1070-485X
EISSN: 1938-3789
Serial Title: Leading Edge (Tulsa, OK)
Serial Volume: 36
Serial Issue: 12
Title: Hydraulic-fracture geometry characterization using low-frequency DAS signal
Title: Geophysical applications of fiber-optic distributed sensing
Author(s): Jin, GeRoy, Baishali
Author(s): Willis, Markprefacer
Author(s): Ajo-Franklin, Jonathan B.prefacer
Author(s): Roy, Baishaliprefacer
Affiliation: ConocoPhillips, United States
Affiliation: Haliburton, United States
Pages: 975-980
Published: 201712
Text Language: English
Publisher: Society of Exploration Geophysicists, Tulsa, OK, United States
References: 9
Accession Number: 2018-020416
Categories: Economic geology, geology of energy sourcesApplied geophysics
Document Type: Serial
Bibliographic Level: Analytic
Illustration Description: illus.
Country of Publication: United States
Secondary Affiliation: GeoRef, Copyright 2018, American Geosciences Institute.
Update Code: 201811
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