Technical Library

In this work, we utilize a deep neural network comprising a series of Fourier neural operators (FNOs), convolutional neural networks (CNNs), and fully connected neural networks (FCNs) to map velocity...

Significant advancements have recently been achieved in the use of full waveform inversion (FWI) methods for the derivation of high-resolution model parameters. In comparison to implementations using...

In this paper we present an innovative node design and deployment method that challenges the coupling paradigm discussed above and relaxes some of the traditional 3D/4D OBN survey design constrains.

In this 4D case study, conducted in the Campos Basin, Brazil, we demonstrate that is possible to extract reliable field production information with relaxed constraints on the acquisition...

The 2021 update to the Nigerian Petroleum Industry Act (PIA) has sparked a surge in exploration activity in the deepwater Niger Delta, particularly within the lesser explored shale diapir zone where...

This paper presents an enhanced binning strategy that includes selections of both the best (primary or rank 1) and second-best (secondary or rank2) pairs of ∆SrcRcv. We then use regularization and...

The Usan field, located offshore Nigeria, has a well established history of deriving significant value from 4D seismic analysis. The recent 2023 Monitor (M3) survey was processed alongside the...

We propose a multiparameter elastic FWI to simultaneously invert P-wave velocity and reflectivity. Our theoretical framework consists of two main elements for achieving this multiparameter inversion....

Least-squares imaging in image domain utilizes Point Spread Functions (PSFs) to estimate the Hessian matrix. The conventional way to compute PSFs involves cascaded operations-modelling followed by...

Seismic baseline surveys over CO2 storage reservoirs need to be sampled well enough for a proper characterization of the storage complex including potential leakage pathways over an area at least as...