Fluid activity detection in geothermal areas using a single seismic station by monitoring horizontal-to-vertical spectral ratios

Okamoto, Kyosuke; Asanuma, Hiroshi; Nimiya, Hiro

doi:10.1038/s41598-021-86775-1

Cited by 5 publications

(2 citation statements)

References 23 publications

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“…In addition to the routine monitoring by FREA-AIST, several studies on microseismicity have been conducted at OGF (Okamoto et al 2018(Okamoto et al , 2020(Okamoto et al , 2021. There were time-dependent microseismic activities near the injection point and far eld, where part of them was correlated with operation activity (Okamoto et al 2018).…”

Section: Microseismic Datamentioning

confidence: 99%

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Building the Fracture Network Model for the Okuaizu Geothermal Field Based on Microseismic Data Analysis

Darisma,

Mukuhira,

Okamoto

et al. 2024

Preprint

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Understanding the flow behavior in a geothermal reservoir is important to manage sustainable geothermal energy extrapolation and contribute to the growth of further geothermal energy usage. Fluid flow in geothermal reservoirs generally occurs in complex existing fracture systems in which reservoirs are situated in highly fractured rock. To model such a fracture system as a discrete fracture model, a fracture’s location and orientation are computed with a statistical process and observational data. In many cases, 1D borehole logging data still has not been well worked. In this study, we use microseismic data to build a fracture network system and extract the detailed position and dimension of fractures. This study uses microseismic data recorded at the Okuaizu Geothermal Field, Fukushima prefecture, Japan, from 2019 to 2021. First, we located the hypocenter locations, removing the effect of uncertainty in velocity structure related geothermal fluids. Then, we relocated and clustered the seismic events based on waveform similarity. Then, we analyze each cluster to define fracture orientation using principal component analysis (PCA) and focal mechanism (FM). We used the P polarity with the S/P ratio as a constraint for a better fault plane solution. With PCA, we also can extract the fracture dimension of each cluster. Our clustering analysis showed that clusters were not always plannar as fractures, and we interpreted them as fracture zones. According to the consistency between the PCA and FM, each cluster/fracture zone was identified into three conceptual models to characterize the fracture network system in this field. The proposed model shows variations in the orientation of small fractures within the fracture zone. We characterized the spatial variation of the fracture distribution and orientations in the reservoir with these models and exhibited the fracture network system of this field. The fracture zone near the injection well has strike N-S, and the dip is above 80°, but the fracture zone in the northeastern part of the injection well has strike in NW-SE with a dip between 60° and 80°. The fracture network system estimated from this study is crucial for robust reservoir modeling as our model is more realistic, observation-orientated, and includes local anomalies of the reservoir properties.

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Section: Microseismic Datamentioning

confidence: 99%

“…1). Several microseismic studies have been conducted on injection test activity (Okamoto et al 2018(Okamoto et al , 2020(Okamoto et al , 2021. However, the fracture system at OGF is not well known, and there is only known fault system information (Kato et al 2021).…”

Section: Introductionmentioning

confidence: 99%