MULTIATTRIBUTES LITHOLOGICAL INVERSION OF IGNEOUS ROCKS BASED ON NEURAL NETWORK

doi:10.3863/j.issn.1000-2634.2006.01.002

西南石油大学学报(自然科学版) ›› 2006, Vol. 28 ›› Issue (1): 5-8.DOI: 10.3863/j.issn.1000-2634.2006.01.002

• 地质勘探 • Previous Articles Next Articles

MULTIATTRIBUTES LITHOLOGICAL INVERSION OF IGNEOUS ROCKS BASED ON NEURAL NETWORK

RAN Qi-quan ZHOU Xue-feng HU Yong-le.

( Research Institute of Petroleum Exploration and Development of Petrochina, Beijing 100083，China)

Received:2005-03-17 Revised:1900-01-01 Online:2006-02-20 Published:2006-02-20
Contact: RAN Qi-quan

Abstract

Abstract: Based on core analysis, the lithalogies, electrology charac-ters, and wave impedance characteristics of Igneous Rocks have been analyzed with geological, logging, seismic and many other information. The carrelativity between the lithologies, electrology characters and wave impedance, seismic attribute has been systematically investigated. To overcome the shortage of conven-tional wave impedance inversion, a set of multi一attributes 1i-thological inversion of Igneous Rocks based on neural network has been established. The lithologies of Igneous Rock in Zaoyuan oilfield have been predicted with the inversion method ,and the distribution of thickness and porosity were given.

Key words: Igneous Rock, lithalogies, electrology characters, seismic attribute, neural network, lithological inversion

CLC Number:

P631.445

RAN Qi-quan ZHOU Xue-feng HU Yong-le. . MULTIATTRIBUTES LITHOLOGICAL INVERSION OF IGNEOUS ROCKS BASED ON NEURAL NETWORK[J]. 西南石油大学学报(自然科学版), 2006, 28(1): 5-8.

0
/ / Recommend

Add to citation manager EndNote|Ris|BibTeX

URL: http://journal15.magtechjournal.com/Jwk_xnzk/EN/10.3863/j.issn.1000-2634.2006.01.002

http://journal15.magtechjournal.com/Jwk_xnzk/EN/Y2006/V28/I1/5

[1]	HUANG Xuri, DAI Yue, XU Yungui, TANG Jing. Seismic Inversion Experiments Based on Deep Learning Algorithm Using Different Datasets [J]. Journal of Southwest Petroleum University(Science & Technology Edition), 2020, 42(6): 16-25.
[2]	LIU Zhaonian, ZHAO Ying, SUN Ting. Data-driven Drilling Acceleration in Bohai XX Block [J]. Journal of Southwest Petroleum University(Science & Technology Edition), 2020, 42(6): 35-41.
[3]	TAN Chaodong, HE Jiayuan, ZHOU Tong, LIU Jiankang, SONG Wenrong. A Study on the Optimization of Fracturing Operation Parameters Based on PCA-BNN [J]. Journal of Southwest Petroleum University(Science & Technology Edition), 2020, 42(6): 56-62.
[4]	LIU Haohan, YAN Yongqin, MIN Lingyuan, YUE Ping, YIN Yanling. Prediction of Annual Increase of Oil Production Based on GM (1, 1)Neural Network Combined Optimization [J]. Journal of Southwest Petroleum University(Science & Technology Edition), 2020, 42(6): 89-96.
[5]	WANG Bing, ZHENG Yamei, CHEN Maoke, GAO Lingyun. Question Answering System for Drilling Safety Based on Tri-BiLSTM-CNN [J]. Journal of Southwest Petroleum University(Science & Technology Edition), 2020, 42(6): 157-164.
[6]	DAI Ruixue, RAN Qi, GUAN Xu, LIANG Han, LAI Qiang. Characteristics and Identification of Seismic Reflection in Heterogeneous Beach Reservoirs [J]. 西南石油大学学报(自然科学版), 2019, 41(3): 61-70.
[7]	ZHAN Diao, SHAO Zhenpeng, ZENG Li, WANG Yingjun, TONG Lin. A Study on Fracture Modelling of the Bedrock Reservoir in Dongping Gas Field, Qaidam Basin [J]. 西南石油大学学报(自然科学版), 2019, 41(3): 71-79.
[8]	LIU Yonghui, LUO Chengcheng, LIU Tong, REN Guirong, WANG Zhongwu. Prediction of Gas-liquid Two-phase Flow Patterns in Horizontal Gas Wells [J]. 西南石油大学学报(自然科学版), 2019, 41(3): 107-112.
[9]	LI Jian, LI Ke, WANG Bing. An Evaluation Model of Drilling Safety Based on Combined Rough Set and Neural Network [J]. 西南石油大学学报(自然科学版), 2017, 39(5): 120-128.
[10]	LIU Hao1, GUO Yishan2*, ZHAO Chunchen3, XIA Yueyang1. Seismic Attribute Analysis of Shallow-water Deltaic Sand Body Prediction [J]. 西南石油大学学报(自然科学版), 2016, 38(4): 71-81.
[11]	ZHAO Zhongquan1*, HE Zhenhua2, WAN Xiaoming1, SHUAI Qingwei1. A Study on Fluid Prediction Based on the Classification of Sensitive#br# Seismic Attributes [J]. 西南石油大学学报(自然科学版), 2016, 38(3): 75-81.
[12]	ZHANG Zhijun*, ZHOU Donghong. Seismic Description Technique of Turbidite Fan of Dongying Formation in#br# Jinzhou A Area，Northern Liaozhong Subdepression [J]. 西南石油大学学报(自然科学版), 2016, 38(3): 55-64.
[13]	WANG Lihua1*, LOU Yishan1, MA Xiaoyong2, CHENG Fushan1, CHEN Yu3. Research on Neural Network Prediction Model of Reservoir Particle Size [J]. 西南石油大学学报(自然科学版), 2016, 38(1): 53-59.
[14]	MO Li1*, WANG Jun1, WANG Jun2, WANG Luyou1. A Rotary Control Head Bearing Temperature Prediction Model Based#br# on GA-BP Algorithm in Underbalanced Drilling [J]. 西南石油大学学报(自然科学版), 2016, 38(1): 164-169.
[15]	Zhang Zhidong1，2*, Ai Zhijiu1, Zheng Wei3, Li Ben4, Zhong Gongxiang1. Study on Fault Diagnosis Technology for Fluid End of Drilling Pump [J]. 西南石油大学学报(自然科学版), 2015, 37(5): 167-173.

MULTIATTRIBUTES LITHOLOGICAL INVERSION OF IGNEOUS ROCKS BASED ON NEURAL NETWORK

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments