Results 61 to 70 of about 24,569,148 (220)
Microseismic monitoring and interpretation of injection data from the In Salah CO2 storage site (Krechba), Algeria [PDF]
-Microseismic data analysis together with interpretation of injection data at the In Salah CO2 storage site provides a valuable tool for improved understanding of the subsurface injection and storage processes.
Oye, Volker +5 more
core +1 more source
Microseismic signals contain various information for oil and gas developing. Increasing the signal-to-noise ratio of microseismic signals can successfully improve the effectiveness of oil and gas resource exploration.
Xuegui Li +4 more
doaj +1 more source
Abstract Understanding fault geometry and mechanics is key to interpreting the seismotectonic setting of a region. We analyze data from a 1‐year dense seismic array deployment in Southern Italy to infer focal mechanisms and stress field from low‐magnitude earthquakes using machine‐learning techniques.
Francesco Scotto di Uccio +5 more
wiley +1 more source
Abstract The dual seismological developments of large‐scale offshore observational networks and high‐quality machine‐learning earthquake detection and picking allow unprecedented seismicity detection in high hazard subduction zones. We develop a high resolution machine learning enhanced seismicity catalog for the Alaska Peninsula stretch of the Alaska ...
G. Barcheck, N. A. Ruppert
wiley +1 more source
Mine microseismic signal denoising method and application based on Adaboost_LSTM prediction
Microseismic early warning is of great significance for ensuring mine safety, where a good denoising and accurate P-wave arrival picking of a microseismic signal is fundamental to the reliability of microseismic monitoring. By observing a large amount of
Xueyi SHANG +4 more
doaj +1 more source
Automatic Classification of Microseismic Records in Underground Mining: A Deep Learning Approach
The identification of suspicious microseismic events is the first crucial step in processing microseismic data. In this paper, we present an automatic classification method based on a deep learning approach for classifying microseismic records in ...
Pingan Peng +3 more
doaj +1 more source
Mechanical Decoupling Across the Deep Megathrust Boundary
Abstract We examine stress and strength across the deep subduction plate boundary at ∼60 km depth offshore northeastern Japan, near the downdip seismic limit of the megathrust. High‐frequency (2–5 Hz) moment tensor inversion of ∼2,000 M 2–3.5 earthquakes, integrated with existing catalogs, increases the number of focal mechanisms by more than a factor ...
Keisuke Yoshida +4 more
wiley +1 more source
Microseismic data of the HDR injection test
<p>Microseismic data associated with the submitted paper on HDR injection test</p ...
Xie, Jingyu, Zhao, Zhengguang, Li, Lei
core +1 more source
Abstract La Soufri'ere de Guadeloupe is an active volcano of the Lesser Antilles Volcanic Arc. Its last eruption halted in 1977, yet hydrothermal activity has increased over recent years, raising summit instability hazards. The link between hydrothermal fluids and detachment landslide surfaces is well established and exacerbated by inflation ...
Elliot Amir Jiwani‐Brown +9 more
wiley +1 more source
Discovery of Hidden Structures in Microseismic Data Using Tensor Decompositions and Multiway Component Analysis [PDF]
Microseismic data is used by companies to analyze and check numerous processes, including horizontal well performance, directional drilling and, most recently, hydraulic fracturing.
Yatsenko, Maxim Andreevich
core

