Abstract
The shallow Montney reservoir in S area of Western Canadian Basin has been proved to be proliferous by the production performances of new horizontal wells, so it is urgent to characterize the reservoir distribution. But, both the limitation of well data and poor seismic vertical resolution bring challenges to the prediction of this new potential layer.
A novel workflow, based on high resolution processed 3D seismic, logging and core data, integrating multi-seismic attribute inversion with minimum support algorithm, logging interpretation and 3D geological modeling, was introduced to fix the challenge. First, choose an objective log which reflects lithology and physical properties variations. Through multi-mineral logging interpretation and cross-plotting, Gamma ray was optimized; second, improve the vertical resolution of original seismic data by sparse layer reflectivity inversion method, before inversion. This process is very critical and guarantees the whole seismic attributes inversion is conducted based on high resolution data; third, extract seismic attributes from processed seismic volume and analyze their sensitivity to lithology variations, providing basis for multi-seismic attributes combinations. Fourth, link the Gamma ray of key wells to high resolution seismic data, and invert the log (Seismic GR) by multi-seismic attributes combinations based on minimum support algorithm (MSA). Compared to traditional PPN (probabilistic neural network), this method is more stable in areas with less wells. Finally, resample the Seismic GR volume into static model, and calibrate it with GR of all wells and P-impedance volume, this step improve the prediction accuracy of inter-wells and resolution in vertical, greatly reducing the uncertainty of lithology prediction between wells.
This workflow enables the well resolution to match with the processed seismic resolution, reduces the instability of multi attributes inversion resulting from limited well training data. Besides that, after the validation of well logs and P-impedance, the multi-seismic attributes inversion results (Seismic GR) are more accurate and with high vertical and lateral recognition. The Seismic Gamma ray shows consistency of Montney reservoir delineation, the more developed the reservoir, the smaller the Seismic GR values, with threshold value of favorable lithology from wells, it is easy to delineate reservoir distribution of Montney formation in S area with constraint of lithology interpretation results from logging.
Copyright 2022, IFEDC Organizing Committee.
This paper was prepared for presentation at the 2022 International Field Exploration and Development Conference in **’an, China, 16–18 November 2022.
This paper was selected for presentation by the IFEDC Committee following review of information contained in an abstract submitted by the author(s). Contents of the paper, as presented, have not been reviewed by the IFEDC Technical Team and are subject to correction by the author(s). The material does not necessarily reflect any position of the IFEDC Technical Committee its members. Papers presented at the Conference are subject to publication review by Professional Team of IFEDC Technical Committee. Electronic reproduction, distribution, or storage of any part of this paper for commercial purposes without the written consent of IFEDC Organizing Committee is prohibited. Permission to reproduce in print is restricted to an abstract of not more than 300 words; illustrations may not be copied. The abstract must contain conspicuous acknowledgment of IFEDC. Contact email: paper@ifedc.org.
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Acknowledgments
We would like to thank PCC technology team and RIPED technology team as well as University of Calgary team for their prospective studies. In addition, we thank Duvernay JV for allowing the use of their data and to present them in this article.
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Liu, L. et al. (2023). New Workflow of Montney Reservoir Lineation – High Resolution Multi-attributes Inversion Based on Minimum Support Algorithm (MSA). In: Lin, J. (eds) Proceedings of the International Field Exploration and Development Conference 2022. IFEDC 2022. Springer Series in Geomechanics and Geoengineering. Springer, Singapore. https://doi.org/10.1007/978-981-99-1964-2_149
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DOI: https://doi.org/10.1007/978-981-99-1964-2_149
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