A novel genetic inversion workflow based on spectral decomposition and convolutional neural networks for sand prediction in Xihu Sag of East China Sea-Reference-Cited by-同舟云学术

A novel genetic inversion workflow based on spectral decomposition and convolutional neural networks for sand prediction in Xihu Sag of East China Sea

Published:2023-12 Issue: Volume:231 Page:212331
ISSN:2949-8910
Container-title:Geoenergy Science and Engineering
language:en
Short-container-title:Geoenergy Science and Engineering

Author:

Xie Pengfei,Hou Jiagen,Duan Dongping,Yao Yuanrong,Yang Wenze,Liu Yuming,Zhao Dingding,Chen Zhangxin^ORCID

Funder

University of Calgary

National Natural Science Foundation of China

Stanford University

China Scholarship Council

Publisher

Elsevier BV

Reference37 articles.

1. Sequential Simulation with Patterns;Arpat,2005

2. Joint estimation of porosity and saturation using stochastic rock-physics modeling;Bachrach;Geophysics,2006

3. Seismic inversion for reservoir properties combining statistical rock physics and geostatistics: a review;Bosch;Geophysics,2010

4. Quantitative characterization of the depositional system in Gas field A, Pinghu slope belt, Xihu Sag and its bearing on periodicity of sea level changes;Chan;Mar. Geol. Quat. Geol.,2021

5. Nonlinear seismic inversion by physics-informed Caianiello convolutional neural networks for overpressure prediction of source rocks in the offshore Xihu depression, East China;Cheng;J. Petrol. Sci. Eng.,2022

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Prediction of deep low permeability sandstone seismic reservoir based on CBAM-CNN;Geoenergy Science and Engineering;2024-11

2. Improved reservoir characterization of thin beds by advanced deep learning approach;Applied Computing and Geosciences;2024-09

3. Sedimentary architecture of thin-layer beach bar sand bodies in the G oilfield, Niger;Frontiers in Earth Science;2024-03-27