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Results
Chevron optimization framework for imaging and inversion (COFII) — An open source and cloud friendly Julia language framework for seismic modeling and inversion
Washbourne, John (Chevron Technology Center) | Kaplan, Sam (Chevron Technology Center) | Merino, Miguel (Chevron Technology Center) | Albertin, Uwe (Chevron Technology Center) | Sekar, Anusha (Chevron Technology Center) | Manuel, Chris (Chevron Technology Center) | Mishra, Scott (Chevron Technology Center) | Chenette, Matthew (Chevron Technology Center) | Loddoch, Alex (Chevron Technology Center)
We present the Chevron optimization framework for imaging and inversion (COFII), an open source framework for seismic modeling and inversion written in the Julia language that is designed to be easy to use in both cloud and traditional high performance computing environments. We will demonstrate that this framework includes the tools needed for high-performance finite difference modeling, full waveform inversion (FWI), and reverse time migration (RTM). We also describe how these tools can be easily adapted to run in the Microsoft Azure cloud. While the examples we show are small 2D experiments, the tooling has been used at scale for large production 3D surveys.
- Geophysics > Seismic Surveying > Seismic Processing > Seismic Migration (0.57)
- Geophysics > Seismic Surveying > Seismic Modeling > Velocity Modeling > Seismic Inversion (0.36)
Density gradient for elastic FWI in Vp-Vs-density parameterization
Shen, Peng (Chevron Energy Technology Company) | Hua, Yong (Chevron Energy Technology Company) | Zhang, Lin (Chevron Energy Technology Company) | Albertin, Uwe (Chevron Energy Technology Company) | Sekar, Anusha (Chevron Energy Technology Company)
We study the relationship between the elastic FWI density gradient and the inverse scattering imaging condition. Due to the chain rule an elastic density gradient in different parameterization arrives at different forms. We show that in Vp-Vs-density parameterization the density gradient reduces to the inverse scattering imaging condition under the acoustic reduction. In a general elastic FWI scenario, under the same parameterization, the density gradient is typically free of long-wavelength backscattering artifacts. This gradient property suggests that the density, instead of being treated as an inversion artifact collector, can be utilized to construct meaningful and interpretable geological-geophysical objects. We argue that such a construction is closely linked to the least-squares reverse time migration (LSRTM). The difference, however, is that the FWI produces Heaviside-type step functions in the final result, whereas through pseudo-Born approximation, the result of LSRTM remains as the angle dependent band-limited Dirac delta function. We demonstrate the density inversion in elastic FWI using field data where the step functions are constructed. The field data we use has been preprocessed for imaging; despite this, however, we achieve a good match between synthetic data and observed data, including the AVO character. Presentation Date: Wednesday, October 14, 2020 Session Start Time: 8:30 AM Presentation Time: 8:30 AM Location: 361F Presentation Type: Oral
Here I discuss the shift is related to the derivative or phase and envelope of the concepts behind some of the techniques being developed in residual (Luo and Schuster, 1991, Ma and Hale, 2013, Kun the general area of wavefield-based inversion, and present a et al, 2015), 2. Envelope FWI, which separates the data into number of examples that illustrate the directions this instantaneous phase and envelope, and uses the envelope in technology is taking towards becoming a full bandwidth the residual (Wu et al, 2014), 3. Spectral balancing and multi-parameter seismic inversion in complex areas.
- Geophysics > Seismic Surveying > Seismic Processing (0.95)
- Geophysics > Seismic Surveying > Seismic Modeling > Velocity Modeling > Seismic Inversion (0.69)