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A HPC software suite for seismic imaging to aid oil and gas exploration
Seismic Data is acquired on land and in marine environment to find out the location of oil & gas reservoir in the subsurface. The processing of seismic data involves several steps before it gets converted into a meaningful and interpretable image of earth volume. Seismic Imaging is an advance processing step which converts seismic data to an earth subsurface image. Seismic imaging aims to create high resolution 2D & 3D structural images of subsurface geology. Reverse Time Migration (RTM) is one of the most reliable and preferred solution for seismic imaging of geological subsurface with complex structures. It can handle large velocity variation without any dip limitations for producing the earth subsurface structure with high resolution. It can deliver subsurface images with high accuracy in different mediums. RTM is highly computation, I/O and storage intensive, which requires High Performance Computing (HPC) ecosystem for execution.

Under the National Supercomputing Mission (NSM), “A HPC software suite for seismic imaging to aid oil and gas exploration” is a “Make in India” initiative to develop a customizable and efficient RTM software “SeisRTM”. It can provide high-resolution 2D & 3D seismic images of complex geological subsurface using acquired large seismic data. This software provides 2D modelling and RTM capabilities for both isotropic and anisotropic (VTI and TTI) media, as well as 3D isotropic modelling and RTM. SeisRTM is equipped with a suite of data preparation and post-processing tools, optimized to handle high-frequency migration and large datasets efficiently. It is designed for parallel computing environments, making it well-suited for deployment on CPU clusters without core limitations. SeisRTM offers both a Command Line Interface (CLI) and a Graphical User Interface (GUI) for user flexibility and includes an in-house developed data visualization tool to streamline data analysis and visualization. The indigenously developed "SeisRTM," built on NSM infrastructure, will serve as a seismic imaging facility, delivering 3D RTM capabilities for upstream oil and gas exploration companies in India.
A Seismic Imaging Solution

Consortia Partners:
Centre for Development of Advanced Computing (C-DAC), Pune

Geodata Processing and Interpretation Centre (GEOPIC), ONGC

Indian Institute of Technology Roorkee (IITR)

Collaborators:
- Centre for Development of Advanced Computing (C-DAC), Pune
- Geodata Processing and Interpretation Centre (GEOPIC), ONGC
- Indian Institute of Technology Roorkee (IITR)
End Users:
- Agencies involved in oil and gas exploration
- Research organization for deep crustal studies
- Academia for teaching advance seismic processing
Milestones:
- CDAC DG Award 2024 (Core Research)
- National Workshop on HPC in Seismic Imaging “Seeing Below the Earth Surface”, SeisRTM Workshop at Pune held on April 2023)
- Workshop on Seismic modeling and migration using SeisRTM at IIT Roorkee held on Dec 2024
- Workshop on Seismic modeling and migration using SeisRTM at IIT(ISM) Dhanbad held on Feb 2025
National Workshop on HPC in Seismic Imaging “Seeing Below the Earth Surface

A Workshop on HPC in Seismic Imaging "Seeing below the Earth Surface" was organized on 28th April 2023 at Pune. The workshop was inaugurated by Shri E. Magesh, Director General, C-DAC. 120+ Domain and computer science experts attended the workshop. Prominent institutes/organizations such as GEOPIC, ONGC; Directorate General of Hydrocarbon, Delhi; Indian Institute of Technology, Roorkee; CSIR-National Institute of Oceanography, Goa; Oil India Limited (OIL), Dibrugarh, Assam; Reliance Industries Limited etc. participated in the event.
Workshop on Seismic modeling and migration using SeisRTM at IIT Roorkee

One day workshop on “Seismic Modeling and Migration using SeisRTM” was conducted at IIT Roorkee on December 6th 2024. 15+ students participated in the workshop. Participants were engaged in hands-on training and gained theoretical and practical insights into seismic imaging techniques. The event included talks by Prof. Anand Joshi, Head of Earth Sciences Dept., IIT Roorkee, and Ms. Richa Rastogi, Scientist F, C-DAC Pune. The workshop aimed to broaden the software's reach, fostering its development while simultaneously advancing research and development in seismic imaging.
Workshop on Seismic modeling and migration using SeisRTM at IIT(ISM) Dhanbad

A three-day workshop on “Seismic Modeling and Migration using SeisRTM” was conducted at IIT (ISM), Dhanbad during February 8th to 10th, 2025. 140+ students participated in the workshop. Over the three days, participants were engaged in hands-on training and gained theoretical and practical insights into seismic imaging techniques. The sessions covered fundamental and advanced topics equipping attendees with experience in using SeisRTM for seismic data processing. The event included talks by Prof. Anand Joshi, Head of Earth Sciences Dept., IIT Roorkee, and Ms. Richa Rastogi, Scientist F, C-DAC Pune. Further the inaugural and valedictory events were graced by Prof. Sanjit Kumar Pal, Head of Applied Geophysics Dept., IIT (ISM) Dhanbad; Prof. Dheeraj Kumar, Deputy Director, IIT (ISM) Dhanbad and Prof. Mritunjay Kumar Singh, Dean of Academics, IIT (ISM) Dhanbad.
MoUs:
- MoU signed on 04th February 2025 with Reliance Industries Limited
- NDA signed on 07th December 2024 with Oil India
- NDA signed on 10th September 2020 with GEOPIC ONGC
Achievements:
- Richa Rastogi, Abhishek Srivastava, Monika Gawade, Bhushan Mahajan, Laxmaiah Bathula and Saheb Ghosh, 2024, Optimal Imaging Aperture for computational efficiency in 2D and 3D Reverse Time Migration using SeisRTM, First Break,2024, https://doi.org/10.3997/1365-2397.fb2024104
- R. Rastogi, A. Srivastava, N. Mangalath, B. Mahajan, S. Ghosh and S. Phadke, 2024, Fast Reverse Time Migration with Enhanced Efficiency and Reduced Computational Load Using Partial Snapshot Storage, 85th EAGE Annual Conference & Exhibition, Jun 2024, Volume 2024, p.1 – 5. https://doi.org/10.3997/2214-4609.2024101153
- Richa Rastogi, Abhishek Srivastava, Monika Pokharkar, Nithu Mangalath, & Saheb Ghosh. (2024). Efficient imaging aperture criterion for reduction of computational cost of TTI RTM. Australian Society of Exploration Geophysicists Extended Abstracts, Volume 2024, 1st ASEG DISCOVER Symposium, Hobart, https://doi.org/10.5281/zenodo.13918172
- Joshi, A., Pandey, M., Singh, J., Richa, R., Srivastava, A., Mangalath, N., 2023,” Effect of topography and shallow velocity model on amplification of P wave: A case study of the Tohoku earthquake of 11 March, 2011 (Under Review), Journal of Soil Dynamics and Earthquake Engineering
- Londhe, A., Rastogi, R.,Srivastava, A.,Khonde, K.,Srisarala, K.,Kharche, K., 2021, Adaptively accelerating FWM2DA seismic modelling program on multicore CPU and GPU architectures. Computers & Geosciences. 146,104637 https://doi.org/10.1016/j.cageo.2020.104637
- Richa Rastogi, Mr Abhishek Srivastava, Nithu Mangalath Bhushan Mahajan, Mr. Saheb Ghosh and Mr. Suhas Phadke, Fast Reverse Time Migration with enhanced efficiency and reduced computational load using partial snapshot storage. European Association of Geoscientists & Engineers,2024, https://doi.org/10.3997/2214-4609.2024101153
- Sandeep Agrawal, Abhishek Srivastava, Richa Rastogi, Jyotsna Khemka, Vinutha SV, Om Jadhav, Sanjay Wandhekar, Migration of CUDA based Seismic Application to Cross-platform SYCL Implementation, HiPC 2023, https://doi.ieeecomputersociety.org/10.1109/HiPCW61695.2023.00017
- Rastogi, R., Srivastava, A., Mangalath, N., Gawade, M., Bathula, L., Phadke, S., Ghosh, S., 2023, Evaluation of RTM implementation approaches using conventional and boundary wavefield savings, SPG-14th International Conference & Exposition, 2023, https://spgindia.org/Kochi2023-expanded-abstracts/evaluation-of-rtmm-implementation-approaches-using-conventional-and-boundary-wavefield-savings.pdf
- Rastogi, R., Srivastava, A., Phadke, S., Mahajan, B., Bathula, L., Ghosh, S. (2023), Improved RTM imaging of marine streamer data using principle of reciprocity, European Association of Geoscientists & Engineers, Jun 2023, Volume 2023, p.1 – 5, https://doi.org/10.3997/2214-4609.202310353
- Kumar, A., Rastogi, R., Srivastava, A., Mahajan, B. (2023), RTM image conditioning using deep learning, European Association of Geoscientists & Engineers, Jun 2023, Volume 2023, p.1 – 5, https://doi.org/10.3997/2214-4609.202310451
- Rastogi, R.,Srivastava, A.,Gawade, M.,Manglath, N., Bathula, L, Mahajan ,B., Phadke, S., 2022, 2D isotropic and vertical transversely isotropic RTM using SEG Hess VTI Model, SEG IMAGE 22-the International Meeting for Applied Geoscience & Energy in Houston, USA. https://doi.org/10.1190/image2022-3745595.1
- Sharma, S., Joshi, A., Singh, J., Pandey, M., Rastogi, R., and Srivastava, A.: Identification of Point Diffractor body placed in dipping Vertically Transverse Isotropic medium using Reverse Time Migration, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-313, https://doi.org/10.5194/egusphere-egu23-313, 2023. http://dx.doi.org/10.5194/egusphere-egu23-313
- Saurabh Sharma, A. Joshi, Richa Rastogi, Abhishek Srivastava, Bhushan Mahajan, Nithu Mangalath, Reverse Time Migration of 2D isotropic Basin model using staggered-grid finite difference scheme, Earth Sciences in India: Challenges and Emerging Trends (ESICET) – 2023
- Richa Rastogi, Abhishek Srivastava, Saheb Ghosh, Anand Joshi, Suhas Phadke, Nithu Mangalath, Bhushan Mahajan, Monika Gawade, Laxmaiah Bathula, Hrishikesh Kumbhar, and Saurabh Sharma, SeisRTM: A make in India Initiative for Software Development for Reverse Time Migration (RTM) to aid Oil and Gas Data Processing for Seismic Imaging, Earth Sciences in India: Challenges and Emerging Trends (ESICET) – 2023
- Richa Rastogi, Abhishek Srivastava and Laxmaiah Bathula, Reverse Time Migration: A tool for complex seismic Imaging, Conference on Integrated Earth (CITE) – 2024
- Successfully migrated SeisAcouMod2D CUDA version to SYCL on Intel Datacenter GPU Max 1500 with CDAC’c HPC-Tech and Intel’s team. A case study of regarding the same is published on Intel’s website https://www.intel.com/content/www/us/en/developer/articles/case-study/c-dac-achieves-1-75x-performance-improvement.html