Abstract
As the newest and most advanced geologic modelling method, multi-point geostatistical method relied on training images is needed to constrain the geological model. In the braided river sedimentation environment, only the application of training images can be satisfied with the established training images, which easily satisfy the requirements of geological modelling. Therefore, in the Sulige block, in the absence of seismic data or poor seismic data quality situation, artificial phases had been made in this paper by using training images. The results of statistical modelling of multi-point are more accurate and reliable. Training image is an important constraint method of multi-point geostatistical simulation and plays an important role in gas reservoir modelling.
Copyright 2017, Shaanxi Petroleum Society.
This paper was prepared for presentation at the 2017 International Field Exploration and Development Conferencein Chengdu, China, 21–22 September 2017.
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 Committee and are subject to correction by the author(s). The material does not necessarily reflect any position of the IFEDC Committee, its members. Papers presented at the conference are subject to publication review by Professional Committee of Petroleum Engineering of Shaanxi Petroleum Society. Electronic reproduction, distribution, or storage of any part of this paper for commercial purposes without the written consent of Shaanxi Petroleum Society 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.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Sheng W, Wenke L (2005) Multiple point geostatistics theory, application and Prospect of. J palaeogeogr 7(1):137–144
Latour S, Cheng C, Yuping C (2012) Ordos’s basin called 38 block reservoir construction mode and control function of. Fault Block Oil Gas Field 19(1):55–60
Strebelle S, Journel A (2001) Reservoir modeling using multiple-point statistics. SPE 71324, 2001
Jiahua W, Wei Z (2010) Research on geostatistical modeling method based on seismic constraint. Offshore oil 2010:1–5
Jianyang C, Zhijie Z et al (2005) Constraint method of stochastic modeling of facies controlled reservoir Earth Sci Front 12(3):237–244
Jichao H, Gang W (2011) Using multi point geostatistics to simulate microfacies of fluvial facies. Spec Oil Gas Reserv 18(6):48–51
Yang L, Yanchao Z (2008) Application of multi point geostatistics in fluvial reservoir modeling. Geol Inf Sci Technol 27(3):68–72
Ying L, Yajie J (2010) Multi point geostatistics stochastic modeling method and application example analysis. Foreign Oilfield Eng 26(11):1–5
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Fu, B., Ma, Z., Zhang, W., Zhang, Q., Zhou, L. (2019). Research and Application of Training Image in Tight Sandstone Gas Reservoir. In: Qu, Z., Lin, J. (eds) Proceedings of the International Field Exploration and Development Conference 2017. Springer Series in Geomechanics and Geoengineering. Springer, Singapore. https://doi.org/10.1007/978-981-10-7560-5_48
Download citation
DOI: https://doi.org/10.1007/978-981-10-7560-5_48
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-7559-9
Online ISBN: 978-981-10-7560-5
eBook Packages: EngineeringEngineering (R0)