PreviousNext No AccessSEG Technical Program Expanded Abstracts 1992Electronic documents give reproducible research a new meaningAuthors: Jon F. ClaerboutMartin KarrenbachJon ClaerboutStanford Univ. and Martin KarrenbachStanford Univ.https://doi.org/10.1190/1.1822162 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Permalink: https://doi.org/10.1190/1.1822162FiguresReferencesRelatedDetailsCited ByPackaging...

Hydraulic fracturing operations in unconventional reservoirs are typically monitored using geophones located either at the surface or adjacent wellbores. A new approach to record hydraulic stimulations uses fiber-optic distributed acoustic sensing (DAS). cable was installed a treatment well Meramec formation monitor fracture stimulation of an reservoir. variety physical effects, such as temperature, strain, and microseismicity measured correlated with program during containing fiber also...

We analyze active and passive seismic data recorded by the Stanford distributed acoustic sensing array (SDASA) located in conduits under University campus. For we used low-energy sources (betsy gun sledge hammer) using both DAS 98 three-component nodes deployed along a 2D line. The joint analysis of shot profiles extracted from two sets shows that some surface waves refracted events are consistently array. In areas where geophone coupling was suboptimal because obstructions, recordings more...

With the development of fiber-optic seismic acquisition systems, dense monitoring near surface in urban areas is quickly becoming much easier than ever before. We provide a case study illustrating use data from new type deployment, array existing telecommunications conduits underneath Stanford University campus California. perform cross correlations strain-rate measurements ambient wavefield to extract signals that mimic response virtual active sources at any receiver location. Now we can so...

Abstract A ship-based seismic survey was conducted close to a fiber-optic submarine cable, and 50 km-long distributed acoustic sensing (DAS) recordings with air-gun shots were obtained for the first time. We examine acquired DAS dataset together co-located hydrophones investigate detection capability of underwater (hydroacoustic) signals. Here, we show hydroacoustic signals identified by measurement characterizing in frequency-time space. The can be sensitive frequency range from...

Hydraulic fracturing operations in unconventional reservoirs are monitored using distributed fiber-optic sensing through which physical effects such as temperature, strain, and microseismic activity can be measured. When combined with treatment curves other reservoir information, these measurements give engineers more data to understand the effectiveness of a program make future management decisions. Distributed acquired within borehole that is actively being fractured subsequently used an...

Abstract The 2020 Rose Parade in Pasadena, California, was recorded by the Pasadena distributed acoustic sensing array, which utilizes underground telecom fiber optic cables as sensors. floats and bands generate remarkable broadband seismic signatures that can be captured at meters’ resolution.

Landslides sometimes creep for decades before undergoing runaway acceleration and catastrophic failure. Observing monitoring the evolution of strain in time space is crucial to understand landslide processes, including transition from slow fast movement. However, limited spatial or temporal resolution existing instrumentation limits study these processes. We employ distributed acoustic sensing data below 1 Hertz frequency during a three-day rainfall at Hollin Hill quantify strain-rate...

ABSTRACT Microseismic monitoring is an increasingly common geophysical tool to monitor the changes in subsurface. Autopicking involving phase arrival detection a element microseismic data processing schemes and necessary for accurate estimation of event locations as well other workflows such tomographic or moment tensor inversion, etc. The quality first picking dependent on actual seismic waveform, which turn related near surface subsurface structure, source type, noise conditions,...

This study investigates the use of subsea communication cables as seismic monitoring instruments. We simulate waveforms observed on 17 spans Iceland-Ireland telecommunications cable, following framework presented in Fichtner et al., 2022.  an open source spectral-element wave propagation code (SPECFEM3D GLOBE) to strain rate at a dense set points along cable. The simulations incorporate realistic physical conditions, including effects topography, gravity, crustal structure, ocean...

 About 70% of the Earth's surface is covered by ocean, making observations seismic waves difficult and expensive in vast regions.  Recently, have been observed using transmission fiber-optic sensing on trans-oceanic subsea cables, them an exciting potential addition to global networks (f.ex. Marra 2018,2022; Zhan, 2021; Mazur 2024).  In this work we use a distributed fiber optic (DFOS) prototype capable measuring integrated strain between each repeater...

Abstract The southernmost portion of the Cascadia subduction zone in northern California produces high rates moderate and large earthquakes owing to Gorda slab deformation associated with Mendocino Triple Junction. Distributed acoustic sensing (DAS) is rapidly advancing as a method for detecting imaging crustal structure. We have begun long-term DAS monitoring experiment on buried telecom fiber Arcata, California, increase available recordings moderate-to-large well image seismogenic...

PreviousNext No AccessSEG Technical Program Expanded Abstracts 2017Earthquakes analysis using data recorded by the Stanford DAS arrayAuthors: Biondo BiondiEileen MartinStephen ColeMartin KarrenbachNathaniel LindseyBiondo BiondiStanford UniversitySearch for more papers this author, Eileen MartinStanford Stephen ColeOptaSense Ltd.Search Martin KarrenbachOptaSense and Nathaniel LindseyUniversity of California–Berkeley Seismological LaboratorySearch...

SUMMARY A 2-D orthogonal distributed acoustic sensing (DAS) array designed for seismic experiments was buried horizontally beneath the Kafadar Commons Geophysical Laboratory on Colorado School of Mines campus at Golden, Colorado. The DAS system using straight fibre-optic cables is a cost-efficient technology that enables dense deployment long-term monitoring, favouring both earthquake-based and ambient-noise-based surface wave analysis subsurface characterization. In our study, records...

Abstract The COVID-19 lockdown has unprecedently affected the dynamics of our society. As traffic flow is a good proxy for societal activity, monitoring becomes useful tool to assess lockdown’s impacts. Here we turned two strands unused telecommunication fibers in Pasadena, California into seismic array ~5,000 sensors and detected ground vibrations caused by moving vehicles along streets above cable. We monitor number their mean speed between December 2019 August 2020 high spatial temporal...

Distributed acoustic sensing (DAS) is a new technology that being adopted widely in the geophysics and earth science communities to measure seismic signals propagating over tens of kilometers using an optical fiber. DAS uses technique phase-coherent time domain reflectometry (φ-OTDR) dynamic strain fiber as small nε by examining interferences Rayleigh-backscattered light. This opening field research very strains infrastructure are much smaller than what currently able be measured with...

Distributed Acoustic Sensing (DAS) fiber-optic systems can detect microseismic events during hydraulic fracturing of the same (in-well) or a neighboring (cross-well) treatment well. With single non-deviated well, event locations are limited to determining position along fiber and distance from – unique 3D location cannot be obtained. While this limits our ability estimate source mechanism events, we use patterns in amplitudes categorize into different types determine orientation some nodal...

Continuous seismic monitoring can be a crucial tool to optimize hydrocarbon production as well provide early warning of potentially hazardous conditions developing in the subsurface. However, cost continuous is significant obstacle its widespread application. Distributed Acoustic Sensors (DAS) recording systems hold promise enable data at much lower cost. We deployed 2.45 km long DAS array with 610 virtual receivers under Stanford University campus and started record passive continuously...

Abstract Landslides can sometimes creep for decades before undergoing runaway acceleration and experiencing catastrophic failure. Observing monitoring the evolution of strain in time space is crucial to understand landslide processes, including transition from slow fast movement. However, limited spatial or temporal resolution existing instrumentation limits study these processes. We present a method employing distributed acoustic sensing (DAS) data below 1 Hertz frequency over three-day...

Summary Ambient noise interferometry allows us to characterize the near surface without cost and regulatory constraints of controlled seismic sources. Geophone arrays can be expensive install maintain, but trenched distributed acoustic sensing (DAS) have shown promise for reducing maintenance ambient acquisition. In this paper we test a novel, easily installed acquisition system using fibre in existing underground telecommunications conduits collection on Stanford University campus. This...

Artificial neural networks can be used effectively to identify and classify multiple events in a seismic data set. We use specialized network, self‐organizing map (SOM), that tries establish rules for the characterization of physical problem. Selected attributes from CMP gathers are as input patterns, such SOM arranges form clusters an abstract space. show with synthetic real how primaries multiples, it various types corresponding certain generating mechanism subsurface.

Multiple reflections in seismic data are generally considered to be unwanted noise that often seriously impedes correct mapping of the subsurface geology search oil and gas reservoirs. We train a backpropagation neural network order recognize remove these multiple thereby bring out primary underneath. The training consist model containing all multiples corresponding sections only arrivals. basis for modeling is from real well log typical area which were gathered. In contrast existing...