Full-waveform inversion (FWI), proposed by Lailly and Tarantola in the 1980s, is considered the most promising data-driven tool to automatically build velocity models. Many successful examples have been reported using FWI to update shallow sediments, gas pockets, and mud volcanoes. However, successful applications of ...
Machine learning is rapidly becoming a standard technology within the oil and gas industry. This is especially true in petrophysics, where Big Data tend to need more efficient and faster data analysis. The term “machine learning” was coined in 1959 by Arthur Samuel and ...
In this paper we demonstrate the ability of acoustic land FWI to recover a high-resolution velocity model using reflected waves in addition to diving waves and inverting up to 13 Hz.
Well-tie analysis is a starting point for mapping facies and geology observed at well locations onto seismic cubes. This step is very important for any application that uses seismic and well data together, and can secure more accurate results by increasing consistency between seismic ...
Below is a case study of the ongoing work on the Monarb and Seagull reprocessing projects in the Central North Sea, with a focus on the use of legacy near field hydrophone recordings, 3D recursive MWD, wave equation deconvolution and AVO QC (In particular ...
The desire to extend all the benefits of broadband 3D data to 4D time-lapse surveys has been hampered by the requirement for repeatability between successive surveys. The use of deep-towed multi-sensor streamers in time-lapse acquisition creates challenges, as the existing baseline surveys will often ...
In this paper, we look at the HeliFalcon AGG survey conducted in the Aso-Oguni area exploring for geothermal fields, examine the technical challenges presented by the rugged terrains, describe some aspects of the data acquisition and processing, and present the survey results.
In this paper, we present an integrated study that combines geophysical and geological approaches to perform porosity estimation and populate the reservoir geological model with the estimated property. For pre-salt oilfields, due to the complex porosity distribution in carbonate reservoirs, predicting a reliable porosity ...
In order to solve the challenges of imaging the shallow reservoirs of the Barents Sea, CGG, in collaboration with Lundin Norway, have developed an innovative source-over-spread acquisition solution, known as TopSeis. This addresses the lack of near-offset data recorded in conventional towed-streamer acquisition by ...