Summary of the evolution based processing and imaging of the Montrose/Arbroath fields of the Central North Sea, with a focus on new demultiple technology in the form of wave equation deconvolution, Ghost Wavefield Elimination using legacy NFH recordings, joint reflection/refraction tomography followed by Q-FWI and reservoir focused QC based on collaboration with Repsol Sinopec.
We describe how FWI Imaging results from existing, raw, conventional 3D seismic data, can be used as a rapidly available 3D alternative to dedicated site surveys or supplementary dataset to help improve understanding of the shallow subsurface.
In this paper, we present a UK case study and draw on lessons learnt from the American market by using mineralogical and textural data obtained by AM and measured TOC to constrain and improve the accuracy of petrophysical modelling. We characterize a UK unconventional reservoir using integrated AM, TOC and petrophysics to define and quantify favourable and unfavourable zones for further development/production and outline the potential benefits and applications of the workflow.
AI capabilities are evolving and helping optimize workflows and aiding E&Ps with the vast troves of data they collect daily.
In this paper, we propose an adaptive implementation scheme for first separating multiples from primary events by a given multiple model in seismic data and subsequently removing the multiples from noisy seismic data using the curvelet transform. Due to the sparseness of seismic data in the curvelet domain, the optimization problem is formularized by incorporating L1- and L2-norms, based on the framework of Bayesian Probability Maximization. Moreover, to meet the challenges faced by various types of data complications, we further develop a method termed frequency-regularized adaptive curvelet domain separation for enhancing the effectiveness of primary-multiple separation by performing frequency dependent optimization in response to the presence of noise and the inaccuracy of multiple models.
The mining industry faces unprecedented hurdles; these challenges can be met with the right geoscience data and digital technologies. Viridien's geophysics, satellite mapping and digital transformation paving the way for important mineral discoveries.
Viridien's exclusive data acquisition, aggregation, and harmonization covering almost 60,000 km2 of land, the Southeast Arizona project area is southeast of Phoenix, bordering Mexico and New Mexico. It is the ultimate dataset to explore southeastern Arizona’s proven and potential mineral resources.
We present a case study over the South Utsira High. This survey was the first commercial BroadSource with BroadSeis 3D survey, and was acquired over the Johan Sverdrup field. A small pilot survey was initially acquired over the Avaldsnes discovery and later extended to 2700km2. We discuss the acquisition and processing and the benefits that full bandwidth data have brought to the understanding of the geology.
Built with a robust sampling program and comprehensive and extensive geochemical testing for lithium-bearing potential, Viridien’s Smackover Formation exploration database addresses the exciting potential of the world’s most prolific lithium oilfield brine reservoir.