[1] |
挪阿伍赛斯, 美穆科尔基, 美梅维科. 定量地震解释[M]. 李来林, 译. 北京: 石油工业出版社, 2009.
|
|
AVSETH Per, MUKERJI Tapan, MAVKO Gary,. Quantitative seismic interpretation[M]. LI Lailin, trans trans. Beijing: Petroleum Industry Press, 2009.
|
[2] |
徐胜峰, 李勇根, 曹宏, 等. 地震岩石物理研究概述[J]. 地球物理学进展, 2009, 24(2): 680-691.
|
|
XU Shengfeng, LI Yonggen, CAO Hong, et al. A review of seismic rock physics[J]. Progress in Geophysics, 2009, 24(2): 680-691.
|
[3] |
杨志芳, 曹宏, 姚逢昌, 等. 复杂孔隙结构储层地震岩石物理分析及应用[J]. 中国石油勘探, 2014, 19(3): 50-56.
|
|
YANG Zhifang, CAO Hong, YAO Fengchang, et al. Seismic rock physical analysis of complex porous reservoir and its application[J]. China Petroleum Exploration, 2014, 19(3): 50-56.
|
[4] |
刘晓鹏, 欧阳诚, 彭宇, 等. 岩石物理参数分析在苏59区块的应用[J]. 岩性油气藏, 2012, 24(4): 80-84.
|
|
LIU Xiaopeng, OUYANG Cheng, PENG Yu, et al. Application of rock physical parameters in block Su 59[J]. Lithologic Reservoirs, 2012, 24(4): 80-84.
|
[5] |
刘畅, 张琴, 庞国印, 等. 致密砂岩储层孔隙度定量预测—以鄂尔多斯盆地姬塬地区长8油层组为例[J]. 岩性油气藏, 2013, 25(5): 70-75.
|
|
LIU Chang, ZHANG Qin, PANG Guoyin, et al. Quantitative prediction of porosity of tight sandstone reservoir: A case study from Chang 8 oil reservoir set in Jiyuan area, Ordos Basin[J]. Lithologic Reservoirs, 2013, 25(5): 70-75.
|
[6] |
印兴耀, 刘欣欣. 储层地震岩石物理建模研究现状与进展[J]. 石油物探, 2016, 55(3): 309-325.
doi: 10.3969/j.issn.1000-1441.2016.03.001
|
|
YIN Xingyao, LIU Xinxin. Research status and progress of the seismic rock-physics modeling methods[J]. Geophysical Prospecting for Petroleum, 2016, 55(3): 309-325.
doi: 10.3969/j.issn.1000-1441.2016.03.001
|
[7] |
姜镭, 许多, 肖维德, 等. 利用弹性参数叠合相控边界识别气水分布—以中江气田沙溪庙组气藏为例[J]. 工程地球物理学报, 2017, 14(4): 379-385.
|
|
JIANG Lei, XU Duo, XIAO Weide, et al. Using elastic parameters superposition facies-constrained boundaries to identify gas-water distribution: A case in Shaximiao Reservoir of Zhongjiang Gas Field[J]. Chinese Journal of Engineering Geophysics, 2017, 14(4): 379-385.
|
[8] |
赵迪. 中江气田沙溪庙组河道砂岩储层定量预测[J]. 物探化探计算技术, 2017, 39(5): 657-662.
|
|
ZHAO Di. Quantitative prediction of channel sandstone reservoir in Shaximiao Formation of Zhongjiang Gas Field[J]. Computing Techniques for Geophysical and Geochemical Exploration, 2017, 39(5): 657-662.
|
[9] |
蔡李梅, 叶素娟, 付菊, 等. 多参数约束的致密砂岩储层渗透率预测方法——以川西拗陷中江气田沙溪庙组为例[J]. 成都理工大学学报:自然科学版, 2018, 45(4): 468-477.
|
|
CAI Limei, YE Sujuan, FU Ju, et al. Permeability prediction technique based on multi-parameter constrain for tight sandstone reservoir: A case study of the Zhongjiang Gas Field in Jurassic Shaximiao Formation in Sichuan Basin, China[J]. Journal of Chengdu University of Technology(Science & Technology Edition), 2018, 45(4): 468-477.
|
[10] |
刘成川, 陈俊, 黎华继, 等. 中江气田沙溪庙组气藏致密砂岩储层测井评价[J]. 石油物探, 2020, 59(1): 131-140.
doi: 10.3969/j.issn.1000-1441.2020.01.015
|
|
LIU Chengchuan, CHEN Jun, LI Huaji, et al. Logging evaluation of the tight sandstone reservoir in the gas reservoir of the Shaximiao Formation within Zhongjiang Gas Field, China[J]. Geophysical Prospecting for Petroleum, 2020, 59(1): 131-140.
doi: 10.3969/j.issn.1000-1441.2020.01.015
|
[11] |
刘兴艳, 李墨寒, 叶泰然. 川西侏罗系复杂河道精细刻画及沉积相带识别[J]. 石油物探, 2019, 58(5): 750-757.
doi: 10.3969/j.issn.1000-1441.2019.05.014
|
|
LIU Xingyan, LI Mohan, YE Tairan. Fine characterization of complicated channels in western Sichuan and identification of sedimentary facies[J]. Geophysical Prospecting for Petroleum, 2019, 58(5): 750-757.
doi: 10.3969/j.issn.1000-1441.2019.05.014
|
[12] |
邓伟飞, 赵爽, 赵迪, 等. 四川盆地西部地区窄河道砂岩精细刻画关键技术[J]. 天然气工业, 2019, 39(S1): 96-101.
|
|
DENG Weifei, ZHAO Shuang, ZHAO Di, et al. Key techniques for fine characterization of narrow channel sandstone in western Sichuan Basin[J]. Natural Gas Industry, 2019, 39(Suppl. 1): 96-101.
|
[13] |
周鹏, 曹俊兴, 刘俊, 等. 基于远减近衰减梯度属性与Bi-LSTM神经网络联合的隐蔽河道砂体识别方法[J]. 地球物理学进展, 2022, 37(5): 2129-2137.
|
|
ZHOU Peng, CAO Junxing, LIU Jun, et al. Concealed channel sand body identification method based on the combination of far minus near attenuation attributes and Bi-LSTM neural network[J]. Progress in Geophysics, 2022, 37(5): 2129-2137.
|
[14] |
熊玄辰. 基于循环神经网络的岩相预测方法研究-以中江气田为例[D]. 成都: 成都理工大学, 2021.
|
|
XIONG Xuanchen. Research on lithofacies prediction method based on recurrent neural network: A case study of Zhongjiang Gas Field[D]. Chengdu: Chengdu University of Technology, 2021.
|
[15] |
郑公营, 吕其彪, 赵爽, 等. 隐蔽河道砂体地震识别关键技术—以四川盆地中江气田中侏罗统沙溪庙组为例[J]. 天然气工业, 2022, 42(9): 35-46.
|
|
ZHENG Gongying, LYU Qibiao, ZHAO Shuang, et al. Key technologies for seismic identification of hidden channel sandbodies: A case study of Middle Jurassic Shaximiao Formation in the Zhongjiang Gas Field of the Sichuan Basin[J]. Natural Gas Industry, 2022, 42(9): 35-46.
|
[16] |
刘言. 中江气田致密砂岩气藏“一体化”甜点评价技术[J]. 石油大学学报(自然科学版), 2022, 44(3): 12-25.
|
|
LIU Yan. Integrated sweets spots evaluation technology for tight sandstone gas reservoirs in Zhongjiang Gas Field[J]. Journal of Southwest Petroleum University(Science & Technology Edition), 2022, 44(3): 12-25.
|
[17] |
曾焱, 黎华继, 周文雅, 等. 川西坳陷东坡中江气田沙溪庙组复杂“窄”河道致密砂岩气藏高产富集规律[J]. 天然气勘探与开发, 2017, 40(4): 1-8.
|
|
ZENG Yan, LI Huaji, ZHOU Wenya, et al. High-yield enrichment laws of Shaximiao Formation tight sandstone gas reservoir of complex “narrow” channel in Zhongjiang Gas Field, in the eastern slope of West Sichuan Depression[J]. Natural Gas Exploration and Development, 2017, 40(4): 1-8.
|
[18] |
蔡李梅, 付菊, 阎丽妮. 川西坳陷中江气田侏罗系沙溪庙组致密砂岩储层特征及主控因素分析[J]. 华南地质与矿产, 2017, 33(4): 383-393.
|
|
CAI Limei, FU Ju, YAN Lini. Reservoir characteristics and the main controlling factors on the middle Jurassic Shaximiao Formation tight sandstone reservoirs in the Zhongjiang Slope of western Sichuan Depression[J]. Geology and Mineral Resources of South China, 2017, 33(4): 383-393.
|
[19] |
付菊, 操延辉, 叶素娟, 等. 次生致密砂岩气藏甜点综合评价—以四川盆地中江气田侏罗系气藏为例[J]. 天然气工业, 2019, 39(S1): 23-29.
|
|
FU Ju, CAO Yanhui, YE Sujuan, et al. Comprehensive evaluation of sweet spots in secondary tight sandstone gas reservoirs: A case study of Jurassic gas reservoirs in Zhongjiang Gas Field, Sichuan Basin[J]. Natural Gas Industry, 2019, 39(S1): 23-29.
|
[20] |
郭彤楼, 王勇飞, 叶素娟, 等. 四川盆地中江气田成藏条件及勘探开发关键技术[J]. 石油学报, 2022, 43(1): 141-155.
doi: 10.7623/syxb202201011
|
|
GUO Tonglou, WANG Yongfei, YE Sujuan, et al. Accummulation conditions and key technologies for exploration and development of Zhongjiang Gas Field in Sichuan Basin[J]. Acta Petrolei Sinica, 2022, 43(1): 141-155.
doi: 10.7623/syxb202201011
|