DAS Microseismic Monitoring and Integration With Strain Measurements in Hydraulic Fracture Profiling

Karrenbach, Martin; Ridge, Andrew; Cole, Steve; Boone, Kevin; Kahn, Dan; Rich, Jamie; Silver, Ken; Langton, Dave

doi:10.15530/urtec-2017-2670716

Cited by 46 publications

(8 citation statements)

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“…The ability to deploy DAS fibers in wells located inside unconventional hydrocarbon reservoirs offers unprecedented opportunities in reservoir monitoring [ 101 , 104 , 113 ]. DAS is a broadband instrument whose response function reaches frequencies lower than 0.001 Hz [ 48 ].…”

Section: Reservoir Characterizationmentioning

confidence: 99%

Seismic Applications of Downhole DAS

Lellouch

Biondi

2021

Sensors

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Distributed Acoustic Sensing (DAS) is gaining vast popularity in the industrial and academic sectors for a variety of studies. Its spatial and temporal resolution is ever helpful, but one of the primary benefits of DAS is the ability to install fibers in boreholes and record seismic signals in depth. With minimal operational disruption, a continuous sampling along the trajectory of the borehole is made possible. Such resolution is highly challenging to obtain with conventional downhole tools. This review article summarizes different seismic uses, passive and active, of downhole DAS. We emphasize current DAS limitations and potential ways to overcome them.

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Section: Reservoir Characterizationmentioning

confidence: 99%

Seismic Applications of Downhole DAS

Lellouch

Biondi

2021

Sensors

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“…This has considerably advanced seismological studies, enhancing our understanding of seismic sources and earth structure (Ajo‐Franklin et al., 2019; J. Li, Kim, et al., 2023; J. Li, Zhu, et al., 2023; Lindsey et al., 2019; Martin et al., 2017; Nayak et al., 2021; Spica et al., 2020). As for earthquake triggering, borehole DAS has proven instrumental in monitoring hydraulic fracturing activities and induced seismicity in the energy industry (Chavarria et al., 2022; Karrenbach et al., 2017; Mateeva et al., 2014; Molenaar et al., 2011). With the rapid deployment of a DAS operating from 4 days post‐mainshock, Z. F. Li et al.…”

Section: Introductionmentioning

confidence: 99%

Thousand‐Kilometer DAS Array Reveals an Uncatalogued Magnitude‐5 Dynamically Triggered Event After the 2023 Turkey Earthquake

Zhai,

Zhan,

Chavarria

2024

JGR Solid Earth

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Large earthquakes can trigger smaller seismic events, even at significant distances. The process of earthquake triggering offers valuable insights into the evolution of local stress states, deepening our understanding of the mechanisms of earthquake nucleation. However, our ability to detect these triggered events is limited by the quality and spatial density of local seismometers, posing significant challenges if the triggered event is hidden in the signal of a nearby larger earthquake. Distributed acoustic sensing (DAS) has the potential to enhance the monitoring capability of triggered earthquakes through its high spatial sampling and large spatial coverage. Here, we report on an uncatalogued magnitude (M) 5.1 event in northeast Turkey, which was likely dynamically and instantaneously triggered by the 2023 M7.8 earthquake in southeast Turkey, located 400 km away. This event was initially discovered on ∼1,100 km of active DAS recordings that are part of an 1,850‐km linear array. Subsequent validation using local seismometers confirmed the event's precise time, location, and magnitude. Interestingly, this dynamically triggered event exhibited precursory signals preceding its P arrivals on the nearby seismometers. It can be interpreted as the signal from other nearby, uncatalogued, smaller triggered events. Our results highlight the potential of high‐spatial‐density DAS in enhancing the local‐scale detection and the detailed analysis of earthquake triggering.

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“…However, implementation of these methods often faces challenges due to their expensive cost and specific construction requirements. 15 Additionally, downhole tiltmeters provide a practical method for determining fracture direction and inclination. The potentiometric method enables precise measurements of the fracture direction and length.…”

Section: Introductionmentioning

confidence: 99%

Hybrid Deep Learning Approach for Hydraulic Fracture Morphology Diagnosis in Coalbed Methane Wells

Yang,

Gou,

Min

et al. 2024

Energy Fuels

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Accurately diagnosing hydraulic fracture morphology is crucial for coalbed methane (CBM) development and strategy formulation. However, achieving precise and efficient diagnosis of fracture morphology remains a challenge in complex geological and engineering environments. Therefore, this study proposes a hybrid deep learning method based on multivariate time series classification. In this method, the fracturing curve is compared to the "language" of the CBM reservoir, with fracture morphology representing the semantics of this "language". This method integrates a wavelet transform module and a deep encoder−decoder module. The wavelet transform module aims to reduce signal noise and enhance model robustness, while the deep encoder−decoder module extracts latent features from the fracturing curve. Integrating hydraulic fracture morphology recognition into a hybrid deep learning model composed of diverse deep neural networks tailored for specific predictive tasks maximizes the strengths of each network component. This approach was evaluated using real data from CBM blocks in Northern China, supported by ablation experiments, numerical simulations, and microseismic interpretation, demonstrating its effectiveness and applicability. In contrast to traditional time series deep learning models, this method enables more robust extraction of advanced temporal features and delivers high-precision predictions. This novel approach provides an effective solution for diagnosing hydraulic fracturing morphology and contributes to guiding refracturing.

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DAS Microseismic Monitoring and Integration With Strain Measurements in Hydraulic Fracture Profiling

Cited by 46 publications

References 0 publications

Seismic Applications of Downhole DAS

Seismic Applications of Downhole DAS

Thousand‐Kilometer DAS Array Reveals an Uncatalogued Magnitude‐5 Dynamically Triggered Event After the 2023 Turkey Earthquake

Hybrid Deep Learning Approach for Hydraulic Fracture Morphology Diagnosis in Coalbed Methane Wells

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