... This paper discusses the development of a novel seismic acquisition system that utilizes a fleet of fully autonomous underwater vehicles (AUVs) as ocean bottom nodes (OBNs). The primary objective is to eliminate a reliance on remotely operated vehicles (ROVs) or ropes for deployment, making...

... details of the compartmentalized reservoir. Additionally, for the subsalt high-frequency (>20 Hz) FWI Imaging at Atlantis, it is essential to utilize ocean bottom node (OBN) data with a denser node spacing that can better sample the complex wavefield and provide higher stacking power to improve the S/N...

... Principles from gravity-subsidence surveys have been integrated in OBN operations to accurately measure relative node depths using a technology called DepthWatch. In our deep-water fields, the accuracy obtained is <5 cm, much better than that from OBN-reported depths or acoustic bathymetry...

... The industry commonly uses two types of clocks to synchronize the ocean bottom node measurements with the time of shots; Chip Scale Atomic Clocks (CSAC) and Crystal Oscillator based clocks (OCXO). Through empirical experiments it has been determined that the two clock types have very similar...

... We present an innovative system for 4D seismic acquisition to monitor reservoirs flexibly, on-demand and at low cost, enabling better field management. The solution uses nodes, which are designed to remain on the seafloor for five years, recording seismic data autonomously and monitoring...

... node american association acquisition upstream oil & gas streamer applied geoscience operation requirement international platform energy 10 reservoir characterization exploration geophysicist towed streamer geometry efficiency expanded abstract obn society diagram...

... log analysis lateral applied geoscience geologist computed interpretation reservoir navigation well logging probability american association winkler energy 10 bayesian inference reservoir characterization wellbore node information correlation international society marginal...

... can be represented as a graph comprised of nodes and the edges between them, graph nets can be trained to predict quantities at the system (global), subsystem, or node level, or even at the edge level (relationship predictions). We applied this paradigm to synthetically-built geologic systems where...

... model interfaces. Since the outline of any shape, such as a triangle or a salt body, can be represented by a vector of the position values of the outline nodes, the correlation coefficient between the true and inverted vectors quantifies the quality of the SGI or other geometric inversion results...

... and corrosion exploration geophysicist international energy 10 orifice simulation riser corrosion node experiment corrosion summary flowline corrosion applied geoscience society laboratory experiment calculation intersection variation Hydrodynamic analysis of pipe-wall thinning due to flow...

... an appropriate mathematical and computational framework for automatized subsurface model building. It is defined by a direct acyclic graph linking nodes of the network with probability functions. In the context of subsurface model reconstruction, the nodes represent subsurface properties (e.g. lithology...

... characterization computer based training neural network machine learning upstream oil & gas artificial intelligence dataset international gpus exploration geophysicist fwi solver society full waveform inversion american association equation node deep learning deep-learning software accelerator...

... node information rotation clock drift correction OBN Acquisition Data Segmentation and QC Techniques Wang Jianfeng*, Qi Yinghe, Song WeiFeng,Yang Haishen,Tang Hu and Wang Mingliang, BGP , CNPC Summary In recent years, OBN seismic acquisition technology has been quickly developed and used due...

... acquiring and processing several test data sets, including a We present a validation study performed in 2020 in the full large-scale ultra-high-density 3D survey in the Middle Permian Basin in West Texas, both from acquisition and data East using around 50,000 nodes. processing perspectives, of a new...

... then, there have been numerous efforts to apply SSFWI to synthetic and field datasets. However, successful applications with substantial speed-ups are limited to the synthetic data because of the assumption of a fixed spread acquisition geometry for SSFWI. Among various field acquisition options, ocean bottom node...

... sediment truncations against Acquisition salt flanks. Several attempts have been made to obtain an accurate velocity model using streamer data and a top-down A dense nodes patch with 350 x 350 m inline and crossline model building approach. However, the velocity errors and spacing was deployed over 11 OCS...

...), who gave it the name of data jitter . moving mass. In the piezoelectric accelerometer introduced These perturbations in the data are usually significantly by Manning et al. (2018), the battery cell powering the node higher than the stated objective of - 40 dB for signal fidelity. is used as reaction...

... (Wang et al., 2011). trained during the COVID-19 lockdown on the installation of nodal seismic stations. We have recorded data at 110 three-component nodes from the IRIS PASSCAL instrument center. Instruments were deployed along three densely spaced seismic profiles in one of the first US-based...

... with the advent of wireless nodes seismic data are ature changes, resulting in different levels and frequencies of commonly acquired as continuous-time recordings, most of instrument noise. We also present a processing ow for ex- the information not related to active source effort is discarded. tracting low...

... Scholte waves are interface waves propagating along fluid-solid boundaries, such as the sea bottom. They are often recorded by ocean bottom nodes (OBN)/cables (OBC) and regarded as noise in conventional data processing. In this study we present a workflow to estimate a shallow shear wave...