Analysis of scattered waves observed in inter-stage DAS VSP data from zipper-fracturing operations

Titov, Aleksei; Binder, G.; Jin, Ge; Tura, Ali; Aaron, Peter; Yates, Mike; Gunnell, Alan R.

doi:10.1190/segam2020-3412788.1

Cited by 2 publications

(2 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…DAS applications such as ball tracking, injection/production profiling, cluster efficiency evaluation, and interstage communication rely on signal intensity in high-frequency bands [44,48,49]. DAS may also be used to conduct time-lapse vertical seismic profiles [50][51][52], to monitor microseismic events [53][54][55], and to measure cross-well strain variations [56]. One of the most important applications of DAS technology is the diagnosis of multistage fracture treatment in horizontal wells [57].…”

Section: Distributed Acoustic Sensing (Das)mentioning

confidence: 99%

“…One of the most important applications of DAS technology is the diagnosis of multistage fracture treatment in horizontal wells [57]. DAS can also be used to conduct time-lapse vertical seismic (VSP) profiles [50][51][52] and to monitor microseismic events [53][54][55]. These findings have been used to quantify and estimate the geometry of far-field hydraulic fractures.…”

Section: Distributed Acoustic Sensing (Das)mentioning

confidence: 99%

See 1 more Smart Citation

Advancement of Hydraulic Fracture Diagnostics in Unconventional Formations

et al. 2021

View full text Add to dashboard Cite

Multistage hydraulic fracturing is a technique to extract hydrocarbon from tight and unconventional reservoirs. Although big advancements occurred in this field, understanding of the created fractures location, size, complexity, and proppant distribution is in its infancy. This study provides the recent advances in the methods and techniques used to diagnose hydraulic fractures in unconventional formations. These techniques include tracer flowback analysis, fiber optics such as distributed temperature sensing (DTS) and distributed acoustic sensing (DAS), tiltmeters, microseismic monitoring, and diagnostic fracture injection tests (DFIT). These techniques are used to estimate the fracture length, height, width, complexity, azimuth, cluster efficiency, fracture spacing between laterals, and proppant distribution. Each technique has its advantages and limitations, while integrating more than one technique in fracture diagnostics might result in synergies, leading to a more informative fracture description. DFIT analysis is critical and subjected to the interpreter’s understanding of the process and the formation properties. Hence, the applications of machine learning in fracture diagnostics and DFIT analysis were discussed. The current study presents an extensive review and comparison between different multistage fracture diagnostic methods, and their applicability is provided. The advantages and the limitations of each technique were highlighted, and the possible areas of future research were suggested.

show abstract

Section: Distributed Acoustic Sensing (Das)mentioning

confidence: 99%

Section: Distributed Acoustic Sensing (Das)mentioning

confidence: 99%

Advancement of Hydraulic Fracture Diagnostics in Unconventional Formations

et al. 2021

View full text Add to dashboard Cite

show abstract

Distributed acoustic sensing time-lapse vertical seismic profiling during zipper-fracturing operations: Observations, modeling, and interpretation

Titov

Jin

Binder³

et al. 2022

GEOPHYSICS

View full text Add to dashboard Cite

Recent advances in distributed acoustic sensing (DAS) technology allow active seismic monitoring of stimulated rock volume (SRV) development. This study showcases an interstage DAS vertical seismic profiling (VSP) survey acquired during a zipper-fracturing stimulation. Incident P-waves scattered by the SRV and converted to S-waves are observed in the data. The signals are associated not only with hydraulic fracturing stages of the instrumented well, but also with fracturing of an adjacent well in the zipper group. A workflow is developed to monitor and characterize the SRV, fracture closure time, and interactions between zipper wells. 3D full wavefield modeling confirms the data interpretation and provides additional insight. As a result, we have been able to estimate SRV properties, including SRV height, width, and the fracture closure time for all wells within the zipper group. Moreover, for adjacent wells, the length and azimuth of SRV can be constrained. Our work provides critical information for optimizing hydraulic fracturing operations.

show abstract

Analysis of scattered waves observed in inter-stage DAS VSP data from zipper-fracturing operations

Cited by 2 publications

References 13 publications

Advancement of Hydraulic Fracture Diagnostics in Unconventional Formations

Advancement of Hydraulic Fracture Diagnostics in Unconventional Formations

Distributed acoustic sensing time-lapse vertical seismic profiling during zipper-fracturing operations: Observations, modeling, and interpretation

Contact Info

Product

Resources

About