Graham Gillott’s Post

Innovation in a conservative industry - yes better can be cheaper. Battery power? A bit yes, but generally no. So, there has been a significant response to the post I made last week (https://lnkd.in/d24Z_JWq) Lots of questions and interest which I am very appreciative of and a request for some more information. It is not simple to address these publicly without upsetting some folks especially my patent lawyers, but I think useful to at least try to help explain the nature of the innovation process. One key query was on the power system for the semi-autonomous seabed node. First, this device does not 'swim' around, it travels vertically (true) at high speed thus enabling much improved seabed coupling than even the latest seabed recording systems (also addressing some of the S/N queries). There was also a presumption that it must use a huge battery and/or have very limited endurance on the seabed. No! It does not use a battery to principally power its way to the seabed. These features also help make the system compact (40cm tall) and cheaper to build and use. The reason for pointing these things out is that the presumptions in some of the queries point to a somewhat 'traditional' way of thinking we see in systems development in our industry which ultimately end in not achieving what our clients need. Better data at a significantly lower cost base.

New services webpage launched. But we haven’t added any new services, we just described what we already do, but with more clarity. "But I thought you only produced stunning images of the subsurface?" Yes, but it would be a little boring if the website just read, “Services: Seismic Processing and Imaging”. Let’s break it down: 🤘Pre-Processing: smash those multiples, suppress the noise, recover that signal. 🤘Depth Imaging: send horizons back to whence they came. 🤘Full Waveform Inversion (FWI): the most accurate velocity model. 🤘Seismic Acquisition Partner: working with the survey contractors who want their raw seismic to end up beautiful. 🤘Legacy Seismic Reprocessing: turn mutton into lamb. 🤘Repurposing: "one man's rubbish may be another's treasure". 🤘UHRS (EHRS) 2D/3D: ultra/extremely good processing for people at the shallow-end of the pool. 🤘Synth-CPT Prep: Engineer-grade precision in processing for reliable predictions. Clear? Good. If not, head to our website 👉https://lnkd.in/eZccXqKZ #seismicprocessing #seismicimaging #xyz

Here's today's nugget ;) What is OBN 4C components in brief? OBN (Ocean Bottom Node): Seismic sensors placed on the ocean floor to record seismic data. They are used to gather high-quality WAZ long offset seismic data. 4C (Four Component): Refers to the four components of data recorded by the OBN: P and Z => PP Upgoing and downgoing wavefields: ------------------------------------------------------------------------- P Component (Hydrophone): Measures the pressure changes in the water, which are predominantly caused by P-waves (primary or compressional waves). P-waves are the fastest seismic waves and travel through both liquid and solid media. Z Component (Vertical Geophone): Measures the vertical component of ground motion, which is also predominantly influenced by P-waves as they cause ground particles to move in the direction of wave propagation (which includes a significant vertical component). The Z component records the vertical motion, capturing both upgoing and downgoing P-waves, thus reflecting the PP (primary-primary) wavefield. Why PP? Both P and Z components are primarily sensitive to P-waves. The PP wavefield consists of P-waves that travel from the source, reflect off subsurface layers, and return as P-waves. The gathers for these components show the propagation of P-waves, making them PP gathers. X and Y => Radial (PS) wavefields: ------------------------------------------------------------------------- X Component (Horizontal Geophone 1): Measures the horizontal component of ground motion in one direction (often inline with the survey line). Sensitive to shear waves (S-waves) and converted waves (PS waves). Y Component (Horizontal Geophone 2): Measures the horizontal component of ground motion in the orthogonal horizontal direction (often crossline to the survey line). Also sensitive to shear waves (S-waves) and converted waves (PS waves). Why PS? Both X and Y components are sensitive to shear waves (S-waves), which do not travel through liquids but are generated when P-waves reflect off a boundary and convert to S-waves. The PS wavefield consists of waves that start as P-waves, convert to S-waves upon reflection, and then return as S-waves. The gathers for these components show the propagation of converted waves, making them PS gathers. Radial (PS) wavefields ?? The X and Y components are initially recorded in the instrument's local coordinate system. These coordinates might not align with the actual source-receiver geometry. Rotation aligns the horizontal components with the source-receiver line, They are decomposed into radial and transverse components relative to the source-receiver direction. The radial component aligns with the direction of wave propagation, while the transverse component is perpendicular to it.

We're pleased to announce the successful installation of the passive seismic field measurements in Spremberg started on April 24th. Helmholtz-Centre Potsdam - German Research Centre GFZ deployed 210 seismic stations in the area west of Spremberg (Welzow Sued), 200 of them vertical geophone stations and 10 broadband stations. Following the completion of data collection, analaysis will focus on the generation of a 3-D subsurface model. In parallel, a magnetotelluric field survey was completed between the 6 and 15 May 2024. In total, 22 magnetotelluric stations were deployed along two perpendicular profiles of 10 and 5 km length to the West of Spremberg. The occurrence of a geomagnetic storm during the field survey may imply high electromagnetic signal strength and better than usual data quality. Once data processing is finished, we will start 2-D and 3-D modelling of the electrical resistivity structure of the underground. The models from these two field studies will be used to test the applicability of these methodology to accurately identify and corroborate subsurface structures. Follow us for further updates. #Spremberg #Geoscience #Minerals

DID YOU KNOW THAT…. Ocean Geophysics delivers multi-channel seismic, ultra-high resolution (UHR), UHRS, 2D UHRS, and 3D UHRS data processing to unravel complex geospatial data?   Our robust data analysis solutions harness the power of cutting-edge technologies to transform seismic data into actionable insights. We offer comprehensive UHR, UHRS, 2D UHRS, and 3D UHRS processing, alongside this our team interpret intricate seismic signatures.   We utilize high-performance computing and state-of-the-art workflows to produce high-resolution seismic data. Our meticulous quality control procedures, advanced noise attenuation techniques, and bespoke processing workflows ensure the reliability and applicability of our data outputs.   What are your favourite features and pet hates with UHR/UHRS data processing?   #geospatial #offshorewind #renewableenergy

I am thrilled to share two recently published studies, the result of great teamwork and dedication! Both presented at IMAGE 2024 in Houston, USA. SEG, GISIS - Seismic Inversion and Imaging Group 🏁 Weighted stacking of up-and down-going RTM images using peak signal-to-noise ratio analysis 🔗 https://lnkd.in/dDCjNAab We introduced a new method to improve seismic imaging in deepwater environments by combining RTM (Reverse Time Migration) images using peak signal-to-noise ratio (PSNR) analysis. Applied to a Brazilian pre-salt OBN data, our method successfully enhances subsurface structure delineation and reduces artifacts, delivering promising results for deepwater oil and gas exploration.  Sérgio Luiz, Ammir Ayman Karsou, Paulo H. B. Alves, Roger Matsumoto Moreira, Jorge Lopez, and Marco Cetale 🏁 Seismic first arrival tomography for top salt velocity update: A case study in the Santos Basin, Brazil 🔗 https://lnkd.in/d-EVwaXX We applied first arrival tomography on field OBN data acquired with large-offset circular geometries. The updated top salt velocities reveal high-contrast anomalies, validated with well log data. This work demonstrates the potential of tomography for improving velocity models in complex salt environments.  Paulo H. B. Alves, Marco Cetale, Roger Matsumoto Moreira, Sérgio Luiz, and Jorge Lopez #SeismicImaging #Geoscience #Energy #Research #DeepwaterExploration #Tomography #IMAGE2024 #PreSalt