In seismic processing and reservoir characterization we often need to measure relative displacements between different realizations of data. Over the years many methods have been developed utilizing different similarity measuring techniques. Such alignment or warping methods are often effective signal or image processing tools ...
Technical Content
Reservoir quality and stratigraphy of the Mowry and Muddy interval of the Powder River Basin, Wyoming, USA
Reservoir quality and stratigraphy of the Mowry and Muddy interval of the Powder River Basin, Wyoming, USA
In this study on the Mowry and Muddy interval in the Powder River Basin, we have evaluated a number of the controlling factors on productivity and identified those regions with greater prospectivity across the basin. We have combined classic geological disciplines with robust geophysical ...
Updating the low frequency model in time-lapse seismic inversion: a case study from a heavy oil steam injection project
Updating the low frequency model in time-lapse seismic inversion: a case study from a heavy oil steam injection project
In this paper we discuss a workflow to update low frequency models in time-lapse inversion studies. In this workflow we invert the base seismic survey and the difference between base and monitor survey in two separate inversion runs. The production effects are picked on ...
Using slowness and azimuth fluctuations as new observables for four-dimensional reservoir seismic monitoring
Using slowness and azimuth fluctuations as new observables for four-dimensional reservoir seismic monitoring
Recently, a lot of efforts has been done in seismology and geophysics to track and monitor sub-surface property variations such as velocity, fluid pressure or saturation. In 4D monitoring, the two main observables are velocity and amplitude variations. For a given reflection, variations are ...
Exploring the remaining potential of the Central North Sea
Exploring the remaining potential of the Central North Sea
High-quality and well-positioned seismic data are key requirements of the decision-making process to recover the remaining and bypassed hydrocarbons in mature areas. A great deal of seismic exploration has taken place within the Central North Sea, using a variety of acquisition configurations including the ...
Combining BroadSeis 3D HD-WAZ data in a reservoir-driven processing approach for field development
Combining BroadSeis 3D HD-WAZ data in a reservoir-driven processing approach for field development
Extended seismic bandwidths provided by broadband acquisitions (BroadSeis), improved illumination from wide-azimuth (WAZ) configurations and high spatial resolution made possible by dense acquisition techniques are all new technologies producing visually compelling imaging and reservoir results. In addition, application of the latest reservoir characterization tools ...
Multidimensional simultaneous random plus erratic noise attenuation and interpolation for seismic data by Joint Low-Rank and Sparse Inversion
Multidimensional simultaneous random plus erratic noise attenuation and interpolation for seismic data by Joint Low-Rank and Sparse Inversion
We present an efficient convex optimization strategy enabling the simultaneous attenuation of random and erratic noise with interpolation in pre-stack seismic data. For a particular analysis window, frequency slice spatial data can be reorganized into a block Toeplitz matrix with Toeplitz blocks in the ...
This article focuses on an area of the Ivorian part of the Tano Basin where no drilling has yet taken place. It describes the interpretation of a new multi-client BroadSeis™ 3D seismic survey covering this unexplored area, which has provided the basis for a ...
Using Big Data Analysis Tools To Understand Bad Hole Sections on the UK Continental Shelf
Using Big Data Analysis Tools To Understand Bad Hole Sections on the UK Continental Shelf
Building on our earlier Big Data paper at OTC in May 2015, this article in JPT October 2015 continues our push to demonstrate the use of Big Data in an Oil & Gas context. Well data from the UKCS were analysed to identify "bad ...