HPC in Oil and Gas Exploration

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1 HPC in Oil and Gas Exploration Anthony Lichnewsky Schlumberger WesternGeco PRACE 2011 Industry workshop

2 Schlumberger Oilfield Services Schlumberger Solutions: Integrated Project Management The Digital Oilfield: Schlumberger Information Systems & DCS Defining the Reservoir: WesternGeco Accessing the Reservoir: Drilling & Measurements Evaluating the Reservoir: Wireline Producing the Reservoir: Well Completions & Productivity Optimizing the Reservoir: Well Services 2f

3 Worldwide Research, Engineering and Manufacturing 3f Research Engineering Manufacturing

4 Outline Challenges in Oil and Gas Industry The Case for HPC : Seismic Processing Other uses of HPC 4f

5 Outline Challenges in Oil and Gas Industry The Case for HPC : Seismic Processing Other uses of HPC 5f

6 Industry Challenges & Trends: Operations will become more challenging - deeper, harsher, or more remote. Complex reservoir challenges will require higher technology intensity, complexity, and level of integration. Greater operational efficiency and flexibility will be required to improve organizational performance. Collaboration and innovation at large (customers, suppliers, academia ) will provide step productivity improvement 6f

7 Complex reservoir challenges deep water, sub-salt, pre-salt... Technology and capital intensive Cartoon courtesy of Shell Greg Guidry Subsalt plays 7f

8 Outline Challenges in Oil and Gas Industry The Case for HPC : Seismic Processing Other uses of HPC 8f

9 Where to Drill? Seismic Acoustic measurement Electromagnetic Gravity???????? 9f??

10 The Echo Sounder Analogy.. Vessel Sea Surface Echo Sounder Source&Receiver Water Bottom???? 10f

11 The Seismic Reflection Method Recording Vessel Sea Surface Seismic Source Water Bottom Seismic Wave Ray Paths Seismic Detectors Hydrocarbon "trap" Gas Oil 11f

12 Seismic Acquisition Configuration 12f

13 1200m 1200m 1200m 1200m 1200m 13f

14 Data rates and computational needs 20 25,000 sensors 500 MB 2 GB ,000 shots TB data 1000s nodes 5 7 days Step Where Data CPU Hours Onboard group forming Onboard Tb Resample, Designature etc Onboard Tb Noise attenuation pass 1 Datacenter Tb ~10,000 Noise attenuation pass 2 Datacenter Tb ~10,000 Imaging pre-conditioning Datacenter Tb ~2,000 Multiple Attenuation Datacenter Tb ~1,000,000 Imaging Datacenter Tb ~3,000,000 14f

15 Relative Computational Effort Data rates and computational needs ,000 sensors 500 MB 2 GB ,000 shots TB data 1000s nodes 5 7 days TTI 4 2 VTI 30 Hz RTM 15f 1 Isotropic Relative Disk Space

16 Relative Computational Effort Data rates and computational needs ,000 sensors 500 MB 2 GB ,000 shots TB data TTI 1000s nodes 5 7 days 15-20,000 nodes Days - weeks Hz RTM 32 VTI 16 Isotropic 8 TTI 4 2 VTI 30 Hz RTM 16f 1 Isotropic Relative Disk Space

17 Relative Compute Effort Seismic Imaging Algorithms WEM RTM Acoustic FWI Algorithm Complexity Elastic FWI 1 Kirchhoff f

18 Seismic : Anticipated computing requirements 2500 WG DP Compute requirement f

19 Key business drivers for HPC Turn-around time reduction in processing projects Cost-effective implementation of newer imaging algorithms Handle the data explosion from newer acquisition techniques Deliver computing capacity to meet business needs 19f

20 Seismic Processing Centers 31 DP centers 5 Hubs 9 on boats 1 with land crew > 10 PFlops 20f

21 Seismic : Current computing platforms Conventional Accelerators Intel Harpertown (Production 2008) Nehalem (Production 2009) Westmere (Production 2010) AMD Shanghai Istanbul Magny-Cours (Testing) IBM Cell Evaluated not adopted GPGPU NVIDIA Tesla (Production ) Fermi (Production 2011) FPGA Evaluation 21f

22 HPC R&D activities Explore new architectures and new applications Develop and support infrastructure, applications evaluate/configure/procure datacenter hardware 22f

23 Outline Challenges in Oil and Gas Industry The Case for HPC : Seismic Processing Other uses of HPC 23f

24 Other uses of HPC As a service or as a software vendor Reservoir modeling, production optimization Basin modeling Real-time: seismic guided drilling, For our internal use Science tools design and manufacturing 24f

25 Current and future HPC Challenges Even more bytes, even more flop Scientists, developers and operations productivity Programming models and tools Debugging, profiling, monitoring, scheduling, Software Scalable numerical methods and libraries Testing and validation Hardware We need people working on memory/io instead of flops Power consumption Reliability 25f

26 Summary HPC is a game changer for Oil & Gas exploration Demand for computing expected to increase with increased E&P challenges We are looking for partners to help us address our computational challenges! 26f

27 Thank you for your attention I look forward to your questions 27f

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