Monitoring Hydraulic Fracturing Operations Using Fiber-Optic Distributed Acoustic Sensing

Boone, Kevin; Crickmore, R.; Werdeg, Zabi; Laing, Carson; Molenaar, Mathieu M.

doi:10.15530/urtec-2015-2158449

Cited by 11 publications

(1 citation statement)

References 5 publications

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“…The distributed optical fiber acoustic sensor converts the standard telecommunication fiber of thousands of meters into a micro-detector array. The coherent optical time-domain reflection measurement technology is used to observe the weak anti-scattering signal caused by the heterogeneity of the fiber glass core [15,16], and the parameters such as sampling rate, spatial resolution and channel number are optimized in the upper reading and writing unit, so as to transmit the original acoustic data from the reading and writing unit to the processing unit [17,18]. The imaging processing is carried out according to the relationship between the frequency of the fluid flowing in the roar and the speed of the roar friction vibration [19], and the spatial image with good accuracy is formed.…”

Section: Fiber Optic Vibration Signal Recognition Principlementioning

confidence: 99%

A preliminary study on wellbore flow interpretation of fiber optic vibration signals based on K-means clustering algorithm

Gan

Yuan

et al. 2022

SN Appl. Sci.

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The wellbore flow analysis of optical fiber vibration signal depends on distributed optical fiber logging. Distributed optical fiber logging technology identifies the fluid in the well through distributed optical fiber acoustic sensor (DAS) and distributed optical fiber temperature sensor (DTS). Distributed optical fiber sensor has the advantages of small underground interference, high efficiency and low cost. In this paper, the wellhead data extracted by the distributed optical fiber acoustic sensor is used to calculate the upper bound of the fluid sound frequency band in the pipe by nonlinear least squares fitting. The K-means clustering algorithm is used to cluster the optical fiber vibration signals in the low frequency band. According to the clustering results, the ratio of the optical fiber signal eigenvalues of each production layers is obtained, and the trend of the ratio of the optical fiber signal eigenvalues of each production layers is judged to be close to the trend of the water absorption intensity. Compared with traditional acoustic logging, the wellbore flow analysis using distributed optical fiber acoustic sensor can quickly determine the production contribution of each layer and the change of fluid phase state in the production cycle. Combined with traditional production logging technology, distributed optical fiber logging shows its reliability and accuracy in data collection, logging interpretation and production application. Starting from the principle of distributed optical fiber acoustic sensing technology, this paper briefly expounds the properties of distributed optical fiber acoustic sensor and the principle of injection profile logging, systematically introduces the processing of distributed optical fiber acoustic data, and emphatically introduces the accuracy of K-means clustering algorithm for analyzing distributed optical fiber acoustic signal and qualitative judgment of production layer, which provides a new idea for judging the accuracy of production layers.

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Section: Fiber Optic Vibration Signal Recognition Principlementioning

confidence: 99%

A preliminary study on wellbore flow interpretation of fiber optic vibration signals based on K-means clustering algorithm

Gan

Yuan

et al. 2022

SN Appl. Sci.

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Effects of parent well spacing on the poroelastic behaviors in the infill zone in shale oil reservoirs: A case study in Jimsar Shale Oil, China

Wang

Guo

Zheng³

et al. 2022

Energy Science & Engineering

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The efficient and commercial development of shale oil reservoirs often relies on the use of horizontal wells and hydraulic fracturing techniques. [1][2][3][4] Successful hydraulic fracturing operations can generate fracture networks for the increase in the contact area with the low permeability matrix. [5][6][7] Typically, tightly spaced horizontal wells that are hydraulically fractured are placed in shale oil reservoirs for better production performance. In consequence,

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Optical Sensors for the Exploration of Oil and Gas

Yamate¹,

Fujisawa

Ikegami³

2017

J. Lightwave Technol.

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Monitoring Hydraulic Fracturing Operations Using Fiber-Optic Distributed Acoustic Sensing

Cited by 11 publications

References 5 publications

A preliminary study on wellbore flow interpretation of fiber optic vibration signals based on K-means clustering algorithm

A preliminary study on wellbore flow interpretation of fiber optic vibration signals based on K-means clustering algorithm

Effects of parent well spacing on the poroelastic behaviors in the infill zone in shale oil reservoirs: A case study in Jimsar Shale Oil, China

Optical Sensors for the Exploration of Oil and Gas

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