Spectraseis Achieves High-Speed Imaging of Full Wave Microseismic Data
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Spectraseis Achieves High-Speed Imaging of Full Wave Microseismic Data
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Elastic wave-equation imaging accelerated 28x with NVIDIA GPUs, shortens
turnaround time for processing of broadband 3-C fracture mapping data
MAY 10, 2012, HOUSTON. Spectraseis, the technology leader in microseismic
fracture imaging, stimulation evaluation and seismic monitoring, has achieved a
substantial speed-up (compared to CPU implementations) for processing
microseismic data, using proprietary algorithms and techniques to get the most
out of NVIDIA(®) Tesla(®) GPUs based on NVIDIA's Fermi architecture.
The accomplishment provides faster turnaround times of both elastic and acoustic
imaging of microseismic events for customers. This faster data processing method
enables additional quality control and analysis of microseismic fracture
monitoring datasets. Accurate event location enables asset teams to make more
meaningful evaluations and planning of well completions and well spacing which
leads to increased field productivity.
Spectraseis employs full elastic migration using 3-component field data that
require the computational horsepower typically reserved for only the largest
scale scientific models. To meet the challenge, Spectraseis has implemented
optimized finite-difference propagation kernels on a cluster of compute engines,
each containing seven NVIDIA Tesla M2070 GPUs providing thousands of separate
compute threads, greatly improving turnaround times.
The size of the model domain, and relatively long recording times, create
computational demands in processing data from fracture monitoring arrays.
Reflection seismic processors have addressed comparable challenges with large
hardware clusters, while microseismic analysis has to-date relied on many
simplifying approximations to minimize the computational complexity, thereby
degrading the accuracy and dependability of the data.
Spectraseis CEO Ross Newman said:
"Oil and gas operators are harnessing the power of GPU computing for
applications such as seismic survey modeling and reverse time migration.
Spectraseis has taken things further and implemented the full elastic wave
equation for microseismic data on GPUs. Computation times measured in minutes
and hours, instead of weeks, have now been achieved, even with complex imaging
conditions. This allows higher quality full wave fracture mapping, using both
pressure and shear data, to be delivered to customers in commercial timeframes.
The benefit to our customers is a much better understanding of fracture
performance and application of the most efficient frac parameters for future
wells."
Sumit Gupta, Senior Director of the Tesla business at NVIDIA, said:
"The 28X acceleration Spectraseis is seeing in elastic wave equation imaging
underscores the tremendous benefits GPUs provide to the oil and gas industry.
NVIDIA GPUs are a true game changer in this industry, enabling companies to
accelerate turnaround on major projects due to the availability of faster and
more accurate results."
Proprietary algorithms
The elastic wave equation uses nine volumes of physical parameters that require
constant interaction, resulting in many memory fetches. While an arithmetic
operation is virtually instantaneous, a memory fetch uses 400-600 clock cycles.
It is therefore critical to optimize both compute kernels and data management in
the compute process. This is paramount for implementations across multiple GPU
clusters, which require domain decomposition and message passing within
propagation update calculations.
Spectraseis has tackled this problem by minimizing the number of memory
transactions and aligning the data using an optimized patent-pending algorithm,
resulting in a significant performance improvement. Additionally, a customized
update/transfer overlap keeps the algorithm fast across multiple GPUs.
###
Note to editors
About Spectraseis
Spectraseis is the technology leader in microseismic fracture monitoring and
stimulation evaluation. We provide services to many of the world's leading E&P
firms, including a growing customer base among North American unconventional
resource operators. Spectraseis provides a competitive advantage to its
customers through cutting-edge innovations in surface and borehole microseismic
monitoring, data processing and imaging. Established in 2004, Spectraseis has
offices in Houston, Denver and Calgary. Our major shareholders include the
private equity firm Warburg Pincus and Statoil Technology Invest.
About NVIDIA
NVIDIA awakened the world to computer graphics when it invented the GPU in
1999. From its roots in visual computing, the company expanded into parallel
computing and mobile computing. Today, its processors power a broad range of
products from smart phones to supercomputers. NVIDIA's mobile processors are
used in phones, tablets and auto infotainment systems. PC gamers rely on GPUs to
enjoy spectacularly immersive worlds. Professionals use them to create visual
effects in movies and design everything from golf clubs to jumbo jets. And
researchers utilize GPUs to advance the frontiers of science with high-
performance computers. The company holds more than 2,300 patents worldwide,
including ones covering ideas essential to modern computing.
###
Product and company names herein may be trademarks of their respective owners.
Contacts
For further information, contact:
Paul Fisher, Axiom Communications Management
Phone + 44 1285713776 (direct)
Phone + 44 7733224850 (cell)
Jim Thom, VP Sales and Business Development, Spectraseis
1900 West Loop South, Suite 1425
HoustonTX77027
Phone +1 281 520 4016 (direct)
Phone +1 832 528 5759 (cell)
Spectraseis press release_NVIDIA High Speed Imaging_May 10 2012:
http://hugin.info/137808/R/1611226/512398.pdf
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Source: Spectraseis via Thomson Reuters ONE
[HUG#1611226]
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Datum: 10.05.2012 - 23:27 Uhr
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