Jiang, Tao (In-depth Geophysical, Inc.) | Gong, Bin (In-depth Geophysical, Inc.) | Qiao, Feng (In-depth Geophysical, Inc.) | Jiang, Yifeng (In-depth Geophysical, Inc.) | Chen, Anbo (In-depth Geophysical, Inc.) | Hren, David (In-depth Geophysical, Inc.) | Meng, Zhaobo (In-depth Geophysical, Inc.)
Large-scale seismic acquisition based on compressive sensing (CS) has been made practical recently, thanks to the advance in CS algorithms and increasing computation power (Mosher, 2014; Li, 2013). Compressive seismic acquisition (CSA) can substantially reduce time and costs with proper compressive seismic de-blending (CSD) and especially compressive seismic reconstruction (CSR). Projection onto convex sets (POCS) is a very popular choice among various mathematical approaches for CSR, because of its efficiency, simple parameterization, and flexibility to expand to high dimensions. However, the efficiency of POCS by utilizing FFT leads to its main drawback of relying on regular grids and 4D binning before 5D interpolation. In this paper, we propose an extended POCS (EPOCS) algorithm to incorporate an interpolating operator into the sampling operator and extend its usage for under-sampled arbitrary irregular acquisition. This is important because CSR relies on grids with certain designed randomness. Both synthetic and real data tests demonstrate the effectiveness of the CSR with EPOCS.
Presentation Date: Tuesday, September 26, 2017
Start Time: 4:20 PM
Presentation Type: ORAL
Elebiju, Bunmi (BP America) | Ariston, Pierre-Olivier (BP America) | van Gestel, Jean-Paul (BP America) | Murphy, Rachel (BP America) | Chakraborty, Samarjit (BP America) | Jansen, Kjetil (BP America) | Rodenberger, Douglas (Shell America) | White, Roy C. (Shell America) | Chen, Yongping (CGG) | Hren, David (CGG) | Hu, Lingli (CGG) | Huang, Yan (CGG)
Using the Kepler and Ariel Fields as a case study, this paper discusses the processing challenges and solutions applied to a 4D co-processing of Wide Azimuth Towed Streamer (WATS) on Narrow Azimuth Towed Streamer (NATS) data. Unlike a dedicated 4D acquisition, WATS on NATS 4D has relatively low repeatability in terms of acquisition geometry and bandwidth differences. All these factors can negatively impact the extraction of a meaningful 4D signal. In this paper, we demonstrate how processing techniques can help to increase repeatability and enhance 4D signal. We focus on the following 4D processing procedures: 4D co-binning, data matching, and post-migration co-denoise. Due largely to these techniques, the final co-processed volumes show an optimized 4D seismic signal with a median Normalized Root Mean Square (NRMS, which measures the repeatability between base and monitor. Details refer to Kragh and Christie, 2002) of 0.10 along the water bottom and 0.28 above the reservoir.