In view of insufficient application of seismic data in sequence stratigraphic analysis and the inconsistency between drilling sequence division and seismic sequence division, principles and relevant corollary techniques for high-resolution seismic sequence analysis under the constraint of log sequence have been proposed. First of all, seismic data is converted into relative impedance. The relative impedance data volume is processed through seismic reflection structure fine processing and converted into Wheeler domain. Seismic data is unfolded in the frequency domain to generate the time-frequency feature chart. Both the Wheeler chart and the time-frequency feature chart can reflect changes in sedimentary cycles. Through fine well-to-seismic calibration, results of log sequence analysis can be combined with seismic data. Through calibration and verification of changes in sedimentary cycle reflected in the Wheeler chart and time-frequency feature chart, high-resolution isochronous formation framework can be established for the entire basin. Application of this method in the A Basin in Eastern China has achieved outstanding performances in exploration.
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SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy
September 26–October 1, 2021
Denver, Colorado, USA and online
Method and application of high precision sequence framework based on well seismic matching
Su Mingjun;
Su Mingjun
Northwest Branch, PetroChina Research Institute of Petroleum Exploration & Development
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Yuan Chen
Yuan Chen
Northwest Branch, PetroChina Research Institute of Petroleum Exploration & Development
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Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, Denver, Colorado, USA and online, September 2021.
Paper Number:
SEG-2021-3581815
Published:
October 30 2021
Citation
Mingjun, Su, and Yuan Chen. "Method and application of high precision sequence framework based on well seismic matching." Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, Denver, Colorado, USA and online, September 2021. doi: https://doi.org/10.1190/segam2021-3581815.1
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