Work

Machine Learning For DAS Microseismic Event Detection

Year: 2019

Type: conference-paper

Source: EAGE Conference and Exhibition - Workshops and Fieldtrips

DOI: 10.3997/2214-4609.201901972

Authors: S. Horne, A. Baird, A. Stork, G. Naldrett

Institutions: Chevron (United Kingdom), University of Bristol, Silixa (United Kingdom)

Language: English

Topic: Hydraulic Fracturing and Reservoir Analysis

Subfield: Fuel Technology

Field: Energy

Domain: Physical Sciences

Open Access status: closed

Funder: Natural Environment Research Council

Award: Fibre-optic distributed Acoustic Sensor Technology for seismic Monitoring During shale gas Extraction (FAST-MoDE)

OpenAlex ID: W2970524616

FWCI: 1.267

Cites:

Cited by: 5

Related to: 10