Technical Content

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 ...

In this paper we will focus on the resolution of the strong imaging challenges of the area. First, we will show how the combination of Multi Wave Inversion (MWI), joint First Break (FB) and slope tomography, and Full Waveform Inversion enabled to construct a ...

Time series are analysed to detect changes and predict future behaviour. Monitoring of the surface or subsurface in Geoscience provides such time series. As new data becomes available, changes of regime are detected. They should be identified as early as possible with as few ...

Solving fault shadow imaging problems has been a long-existing topic when heavy faults are present and the seismic imaging underneath is distorted. With full-waveform inversion (FWI), they are usually less of a concern when their depths are within diving wave penetration. However, beyond diving ...

CCED is the operator of onshore blocks in the Sultanate of Oman. The blocks are located on the eastern flank of the Oman Salt Basin. Within the area of interest, the Barik, Al Bashair, Buah and Khufai Formations form the main oil and gas ...

Tables are ubiquitous in the geoscience industry, appearing in numerous documents and spreadsheets. They contain a wealth of data in a structured format which can help us understand the subsurface. However, the number of tables created over the years is huge and it requires ...

Novel/Additive Information: The paper presents a simple and computational fast method to predict CO2 injectivity and well pressure as a function of time. The application of superposition in time - a method usually associated with solving linear problems - is demonstrated to adequately solve ...

Up-down deconvolution remains a powerful tool for the processing of ocean-bottom node data through its ability to efficiently attenuate free-surface multiples along with the source ghost and signature. Practical receiver-domain implementations in the frequency-wavenumber domain, however, assume layer-cake geology and can leave residual multiples ...