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Oil & Gas Exploration
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Petroleum is one of the main energy resources used in modern society and called the blood of the industry. Since petroleum resources are buried deep in the ground, seismic wave is commonly used in petroleum exploration. A seismic wave spreads differently in different strata and geologic structures and arrives at the detector at different times and from different directions with different delays. With these seismic data the conditions of oil and gas in the strata can be inferred inversely through computation. Usually hundreds of TB of seismic data are received in one exploration. The data received needs to be pre-processed, processed and interpreted, for which extremely high requirements for I/O throughput and floating point execution power are presented.

기술사양:

Common Applications 

Typical Applications

Acceleration Mode

Pre-processing of seismic data

OMNI, Mesa, GXII, Mill, TomoPlus, ToModel, KeLang, SPS_QC

CPU

Processing of seismic data

Omega, Geoeast, CGG, Focus, Promax, Vector_vista

CPU/GPU

Interpretation

GeoFrame, LandMark, Epos, Discover, SMT, SeisWare

CPU

Numerical modeling of oil pool

Eclipse, Vip, CMG, Sure

CPU

  

Application Performance Features

We capture run time features of seismic data processing by taking a certain migration processing module, as an example of one of the seismic data processing algorithms that takes the longest time to run.

Coverage Area

Duration

Interval

Number of Shots

Seismic Data Volume

Seismic Data

~2000km2

7s

2ms

~900,000

~30TB

  

4

 During seismic data processing, the CPU floating-point execution speed can reach about 400GFlops in a single node, inter-node network bandwidth of 700MB/s, storage data r/w speed of approximately 30~50MB/s, and local I/O throughput of approximately 10MB/s. Therefore, the seismic data migration processing application is floating point and network bandwidth intensive, and also requires relatively high I/O throughput.

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