M-OSRP | New proprietary seismic capability delivered to M-OSRP sponsors, 9/20/2018

New proprietary seismic capability delivered to M-OSRP sponsors, 9/20/2018

Posted on September 20, 2018

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Dear Sponsors, Colleagues and Friends, I am happy to share that several new and proprietary documented codes are now available on the sponsor only section of the M-OSRP website.

Delivering new preprocessing and internal multiple removal capability- the only current methods that are direct and require no subsurface information In the link below please find these new preprocessing codes ( for source signature and radiation pattern estimation, reference wave and reflection data prediction, without damaging either; and source and receiver de-ghosting , with a horizontal or variable measurement surface topography) and internal multiple elimination codes ( predicting the precise time and amplitude of internal multiples at all offsets- and thereby to remove internal multiples without damaging interfering or proximal primaries). In addition in the link please find a list of all the codes available to M-OSRP sponsors.

These preprocessing codes and distinct inverse scattering series free surface and internal multiple removal algorithms require absolutely no subsurface information. In fact they are the only methods currently (published and/or) available for removing multiples that directly and without iteration predict the exact time and the exact amplitude of multiples at all offsets without any subsurface information, with no knowledge of multiple generators, and without overburden information or interpreter intervention. http://mosrp.uh.edu/research/projects/coding

For a detailed description of all the projects within our program, and their goals, progress and plans- please see the 2018 M-OSRP Annual Technical Review link below with a menu to be able to select topics with videos and synced slides, and two related links with advances and recent references.

http://mosrp.uh.edu/news/annual-meeting-2018

http://mosrp.uh.edu/news/recent-preprints-from-m-osrp-uh-weglein-2018

Advances in the physics of imaging with benefit for petroleum exploration and medical imaging http://www.uh.edu/nsm/physics/news-events/stories/2018/0525-seismic-processing.php

Below this note, please find for your possible interest “ A very brief historical perspective” that places our overall research approach and activity, and these specific code deliveries ( described above) within a broader context and perspective.

Thank you for your constant encouragement and strong support. Warmest best regards, Arthur

A very brief historical perspective In the early evolution of methods to image primaries and removal multiples , (roughly 1960-1985) the more capable the method, the higher the bar was for accurate subsurface information. That evolution and need for subsurface information bumped up against the industry trend to deep water and more complex on-shore and off-shore plays. The inability to provide adequate subsurface information has been and remains a key obstacle to seismic processing effectiveness. In response, a campaign was undertaken to provide highly capable seismic processing methods that did not need to know, or to estimate or to ever determine subsurface properties . The Green’s theorem based methods for preprocessing and the inverse scattering series for removing multiples, and to perform Q compensation, depth imaging and amplitude analysis on primaries provided a comprehensive approach for achieving every processing objective directly and with absolutely no subsurface information. ** Both these preprocessing and multiple removal methods ( delivered today) fall within that overall objective and broad strategy -and require absolutely no subsurface information. These inverse scattering series multiple removal ( attenuation and elimination) methods are the only concepts and published theory and algorithms today that have that one essential feature: absolutely no subsurface information( not needed, estimated or ever determined) , no macro- velocity model, no iteration, no identification of multiple generators, no overburden information, and no interpreter intervention.** The industry wide use and impact of the ISS internal multiple attenuation is based on that one simple fact- no subsurface information- and is documented in the attached slide with a sampling of references. That internal multiple attenuation algorithm requires the preprocessing steps ( prediction of the reflection data and deghosting) and the ISS free surface removal algorithm ( with 2D and 3D codes available in the sponsor only website)and without the damaging of proximal or interfering primaries, that can and will occur with SRME methods. The output of the ISS internal multiple attenuation algorithm is the input to the ISS elimination algorithm, currently being delivered.

Other multiple removal methods , for example, Marchenko and interferometric methods require subsurface and overburden information and iteration. In some very real sense the latter approaches are a step back into the older and ‘need for subsurface information’ seismic world. The inability to provide adequate subsurface information, especially under complex rapid laterally varying heterogeneous circumstances, remains an open issue and challenge today and ( a recognized but unmentionable/ unspoken) contributor to dry hole drilling. We suggest that maximum progress will arrive with methods that provide more capability without requiring subsurface information. We also suggest that research begins with defining the open issues and challenges being addressed and in defining and demonstrating what specific added value can be provided beyond the current industry available methods and under what circumstances.

We are grateful to our colleagues and students who pioneered and developed this new delivered capability, that has entered the sponsor only website and those who created a user friendly documented delivery. They are noted ( with appreciation) within each individual code link. This is the first in a series of upcoming code deliveries for this academic year.

We are deeply grateful for your encouragement and for your support.