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1. (WO2018201114) HIGH RESOLUTION SEISMIC DATA DERIVED FROM PRE-STACK INVERSION AND MACHINE LEARNING

Pub. No.:    WO/2018/201114    International Application No.:    PCT/US2018/030064
Publication Date: Fri Nov 02 00:59:59 CET 2018 International Filing Date: Sun Apr 29 01:59:59 CEST 2018
IPC: G01V 1/30
Applicants: PIONEER NATURAL RESOURCES USA, INC.
MEEK, Robert
Inventors: MEEK, Robert
Title: HIGH RESOLUTION SEISMIC DATA DERIVED FROM PRE-STACK INVERSION AND MACHINE LEARNING
Abstract:
A system and method combines model-based inversion and supervised neural networks to develop high resolution rock property volumes from surface seismic data. These volumes have higher frequency and are calibrated to fit well log data. In addition to rock volumes, a Reflection Coefficient (RC) volume is derived from the acoustic impedance volume. The RC volume has much higher frequency, better lateral continuity, and ties to the well logs better than conventional seismic or frequency enhanced data. By interpreting and mapping with this RC volume, a much more accurate depth model can be built, which allows for a horizontal well to be accurately drilled.