An improved method to estimate net pay from seismic attributes (See Quantitative assessment of the seismic net-pay method: A case study, Ramses G. Meza, Juan M. Florez, Stanislav Kuzmin, and John P. Castagna, SEG Interpretation Volume 3, Issue 2 May 2015)
- Works by correcting average amplitude to seismic net-to-gross
- Application of power law geological models provides more accurate synthetic datasets on which to test and optimise net pay estimation algorithms
- Can be seamlessly integrated with existing seismic interpretation systems and allows Interpretation Geophysicists to gain access to inversion techniques
- Rapid, robust, inexpensive and eliminates the need for expert users
Seismic Net Pay (SNP) estimates net pay from seismic attributes. More generally SNP can be used to make estimates of either net pay or net rock volume depending on the input data and the calibration. The documentation will refer to net pay throughout but interchangeability with net rock volume should be inferred. The application interfaces directly with Seisworks to read and write horizon data. The basic algorithm is:
- Pick top and base of reservoir on zero crossings of bandlimited impedance data
- Extract average band-limited impedance
- Estimate wavelet
- Calculate detuning curve
- Apply detuning curve to average band-limited impedance
- Apply first guess calibration and calculate net pay
- Adjust calibration using well data
For a description of the process please read: Connolly, P.A., 2005, Net pay estimation from seismic attributes, EAGE Extended Abstracts and Connolly, P.A, October 2007, A simple, robust algorithm for seismic net pay estimation, The Leading Edge.
Application support and maintenance
With a support and maintenance contract from ARK CLS Limited, clients can download software updates in the form of new releases and patches.