Technical Content

Superimposed reservoirs are common in oil and gas production, but they are challenging to monitor with time-lapse seismic imaging. A common seismic attribute used for assessing reservoir evolution during production is the time-shift measurement which is obtained comparing two 3D seismic images. In the ...

Dynamic Resolution Time-Lag FWI (DR-TLFWI) aims to use both diving waves and reflections for velocity update with optimized low- and high-wavenumber components from shallow to deep section. The proposed method builds contrast into the velocity model, enabling the simulation of reflections. The iterative velocity ...

Yinggehai basin is one of the most important basins of the South China Sea for its mega gas reservoirs and exploration potential. Vintage seismic data generally suffers severely from complex structures, including diapir formed by thermal fluids, strong shallow gas fields, and complex faulting ...

Acting as a technology-agnostic, standards-based data platform, the OSDU has reduced energy data silos and provided the capability for applications developers to build new solutions and data ingestion services. The current OSDU schemas are primarily created to store file metadata to allow users to ...

We discuss the processing and imaging solutions designed to assess 4D signal in a monitor Vertical Seismic Profiling (VSP) survey acquired with Distributed Acoustic Sensing (DAS) over the Culzean field, Central North Sea. With a baseline DAS VSP survey acquired during a pilot programme ...

Multi-component data recording from ocean-bottom seismic (OBS) surveys captures both PP and PS (converted wave) events. Processing such data can produce superior images compared to those obtained from conventional streamer acquisitions. In addition, PP and PS images can provide valuable insights into reservoir properties ...

The Dugong area in the Norwegian North Sea was surveyed by North-South (N–S) orientated, variable depth streamer data, and recently, East-West (E–W) orientated triple source multi-sensor data. By reprocessing the original N-S data in combination with the E–W, we found that a combined dual-azimuth ...

Convolutional-based neural network (CNN-based) architectures have shown promise in performing denoising tasks. However, it can be demonstrated that their predictions are of limited use for some tasks because they produce signal leakage. For these tasks, a possible improvement is to incorporate CNN-based architectures as ...

Over two million files, containing geochemical information, have been collected from tens of thousands of wells drilled during decades of exploration in the Gulf of Mexico (GOM) and are available to geoscientists in the public domain. While these files represent a vast knowledgebase covering ...