New Seismic Processing and Acquisition Research Projects


Providing Broader Bandwidth Data and Improved Reservoir Detection and Delineation

The ability to broaden the bandwidth of seismic data and deliver that enhancement to the target and reservoir has clear benefits for more successful exploration, appraisal and development-well placement. Several fundamental seismic research projects in the Department of Physics at the University of Houston are identifying challenges in that arena and delivering new capability and effective solutions.

Major Seismic Challenge: Influence of Absorptive and Dispersive Subsurface on Seismic Data

One of the longstanding challenges in exploration seismology is the loss of seismic wave amplitude due to the absorptive and dispersive nature of the subsurface. The quantity ‘Q’ is used in equations to define the absorptive process that seismic waves experience when propagating in the subsurface.

The returning reflected wave will have a greater reduction in amplitude for higher frequency components compared to lower frequency components. That loss of high frequency data components has a deleterious effect on seismic resolution, and discourages acquiring higher frequency data under precisely the circumstances where higher resolution is needed. One reason for the interest in additional low frequency data is that it is the only data that often survives, for example, in a pre-salt play where the reflected wave has experienced the highly absorptive salt layer(s).

There is a long history, and many approaches exist that attempt to estimate the absorptive mechanism, and compensate for the attenuation due to absorption. The accurate estimation of absorptive properties is difficult, with a checkered history of success. Small errors can result in noise being amplified and overall unstable results.

New, Practical Approach to Addressing the Problem: Q Compensation without Knowing, Estimating or Determining Q

Arthur Weglein and Yanglei Zou
Arthur Weglein and Yanglei Zou

Yanglei Zou and Arthur Weglein, of the Mission-Oriented Seismic Research Program (M-OSRP) in the UH physics department, have recently advanced a new, practical method that can compensate for the absorption experienced in the subsurface without needing to know, estimate or determine anything about the absorptive mechanism.

“It is hard to overstate the significance of that advance,” said Weglein, who is the Hugh Roy and Lillie Cranz Cullen Distinguished University Chair in Physics. “Q compensation will benefit all frequency components of the reflection data, and in particular, will boost the high end of the frequency spectrum.”

That, Weglein says, will encourage new acquisition methods to acquire higher frequency data.

Implications Beyond Seismic: Probing with Electromagnetic Waves

The development also has significant implications for electromagnetic exploration, where absorption and dissipation can be even more serious and dominate the propagation terms in the governing equations. The new method being developed for removing the deleterious effects of absorption ‘Q’ on seismic waves has application to electromagnetic waves, with the potential to produce a subsurface analog of seismic Q, an electromagnetic conductivity map, to directly distinguish water from oil.

New Developments in Seismic Acquisition: Generating and Recording Lower Frequency Data

Mark Meier, a new physics faculty member, is developing a lower frequency source and receiver for marine and on-shore plays. It will provide lower frequency data than is currently available in the petroleum industry. Meier is planning a new petroleum industry consortium to fund and support his fundamental seismic acquisition research.

Delivering Benefits of Conventional and Broader Bandwidth Data to the Target and Reservoir: The First Migration that Doesn’t Discount Low Frequency Data Components

Migration is the method that inputs recorded seismic data to locate and delineate targets and reservoirs.

All current migration methods, including all reverse time migration (RTM) methods, make high frequency approximations. The consequence is that the migration methods employed today are less effective with lower frequency components.

That fact has resolution consequences with conventional seismic acquisition. In addition, all current migration methods discount the potential and value of lower frequency recorded data.

M-OSRP Group
Physics faculty and members of the M-OSRP Team: From left, Weglein, Chao Ma, Jim Mayhan, Mark Meier, Yanglei Zou, Qiang Fu and Fang Liu.

M-OSRP has developed the first migration method for heterogeneous media that is equally effective at all frequencies. The M-OSRP team pioneering that capability and delivery includes Weglein, Robert H. Stolt, Yanglei Zou, Qiang Fu, Chao Ma, Jing Wu, Jingfeng Zhang, Jose Eduardo Lira, and Jim Mayhan.

Advancing Seismic Acquisition and Processing for a Comprehensive, Consistent Approach to E&P Challenges

The new migration method from M-OSRP provides added value for identifying and delineating reservoirs, beyond the current industry top-of-the-line RTM migration. The added value promises to be even greater for lower frequency broadband data that Meier and his team will provide. An overview can be found in mosrp.uh.edu/news/executive-summary-progress-2017.

M-OSRP Annual Technical Review – June 5-6

The 2018 M-OSRP Annual Technical Review will be held June 5-6 at the University of Houston. It will cover all projects within M-OSRP including, preprocessing for marine and offshore plays, choosing among tool box options: ISS free surface multiple elimination and SRME, and internal multiple elimination for removing multiples without damaging a proximal or interfering primary, Stolt CIII migration, and RTM resolution comparisons for heterogeneous media, and Q compensation without Q.