四川盆地西南部井研地区二叠系火山岩勘探领域取得油气突破,但火山岩岩相类型多样、地震反射特征差异明显、取心资料少、储层薄且分布规律不清,因此,进一步落实井研地区火山岩岩相及优质储层分布对该区火山岩油气勘探具有重要意义。根据实钻井数据建立火山岩储层正演模型,模拟影响火山岩地震反射特征变化的因素,建立火山岩岩相和储层识别模式;在单井旋回期次、岩性、岩相和地震波形分析基础上,利用地震相、地层厚度、相干体、三维可视化等多种手段确定火山岩岩相类型及分布;在火山岩储层精细标定基础上,利用波阻抗和神经网络反演多种方法确定火山岩上、下储层分布;最终结合火山岩有利岩相、储层厚度、断裂、裂缝分布,圈定优质储层发育区。研究结果表明:井研地区发育爆发相、火山通道相和溢流相3种岩相类型,火山岩分布相对稳定,内部发育2套储层,爆发相下储层发育时明显影响火山岩底部地震反射;多种方法综合预测火山岩优质储层主要分布在工区西部和西南部,基底断裂、裂缝发育叠合区是下一步有利勘探目标区。研究结果对井研地区火山岩油气勘探具有一定指导意义。
A great breakthrough was made in the field of Permian volcanic rock exploration in Jingyan Area, southwest Sichuan Basin, but there are various volcanic rock types, obvious differences in seismic reflection characteristics, little coring data, thin reservoirs and unclear distribution patterns; therefore, it is important to further identify the distribution of volcanic facies and high-quality reservoirs in Jingyan Area for volcanic oil and gas exploration in the area. A forward model of volcanic reservoir was established based on the real drilling data to simulate the factors affecting the variation of seismic reflection characteristics of volcanic rock, and an identification model was established for volcanic rock facies and reservoirs. On the basis of the analysis on single well cycle, lithology, lithofacies and seismic waveforms, the types and distribution of volcanic facies were determined by seismic facies, stratigraphic thickness, coherence cube, three-dimensional visualization and other methods. After fine calibration of volcanic reservoirs, the distribution of upper and lower volcanic reservoirs was determined by wave impedance, neural network inversion and other method. Finally, the areas developed with high-quality reservoirs were delineated in combination with the favorable lithofacies, reservoir thickness, fault, and fracture distribution of volcanic rocks. The study results show that there are three types of lithofacies developed in Jingyan Area, namely, eruptive facies, volcanic channel facies and overflow facies. The distribution of volcanic rocks is relatively stable, and two reservoirs are developed in this area. The development of reservoir under the eruptive facies has an obvious effect on the seismic reflection at volcanic rock bottom. As predicted by various methods, the high-quality reservoirs of volcanic rocks are mainly distributed in the west and southwest of the work area, and the superimposed area of basement rift and fractures is the next target of favorable area exploration. There is much guiding significance of the study results for the exploration of volcanic oil and gas in Jinyan Area.
[1] 马新华,杨雨,张健,等.四川盆地二叠系火山碎屑岩气藏勘探重大发现及其启示[J].天然气工业,2019,39(2):1-8.
MA Xinhua,YANG Yu,ZHANG Jian,et al.A major discovery in Permian volcanic rock gas reservoir exploration in the Sichuan Basin and its implications[J].Natural Gas Industry,2019,39(2):1-8.
[2] 杨毅,张本健,蒋德生,等.四川盆地西南部上二叠统峨眉山玄武岩成藏模式初探[J].天然气工业,2010,30(5):46-49.
YANG Yi,ZHANG Benjian,JIANG Desheng,et al.A preliminary study on hydrocarbon pooling patterns of the Upper Permian Emeishan basalts in southwestern Sichuan Basin[J].Natural Gas Industry,2010,30(5):46-49.
[3] 夏茂龙,文龙,李亚,等.四川盆地简阳地区二叠系火山喷发旋回、环境与模式[J].天然气工业,2020,40(9):11-22.
XIA Maolong,WEN Long,LI Ya,et al.Permian volcanic eruption cycle,environment and model in the Jianyang Area of the Sichuan Basin[J].Natural Gas Industry,2020,40(9):11-22.
[4] 李素华,卢齐军,李蓉,等.川西广汉地区二叠系火山岩地震响应特征及分布预测[J].石油物探,2022,61(4):694-704.
LI Suhua,LU Qijun,LI Rong,et al.Seismic response characteristics and distribution prediction of Permian volcanic rocks in the Guanghan Area,western Sichuan[J].Geophysical Prospecting for Petroleum,2022,61(4):694-704.
[5] 罗鑫,王维,李亮,等.准噶尔盆地C47井区火山岩优质储层预测[J].特种油气藏,2017,24(3):54-58.
LUO Xin,WANG Wei,LI Liang,et al.Prediction of fine volcanic reservoirs in C47 Well Field in the Junggar Basin[J].Special Oil & Gas Reservoirs,2017,24(3):54-58.
[6] 郭娟娟,许学龙,黄林军,等.火山岩岩相多方法逐级识别技术[J].石油地球物理勘探,2018,53(1):169-177.
GUO Juanjuan,XU Xuelong,HUANG Linjun,et al.Volcanic rock lithofacies identification step-by-step with multi-methods[J].Oil Geophysical Prospecting,2018,53(1):169-177.
[7] 李宏博,朱江.峨眉山玄武岩与茅口组灰岩的接触关系:对峨眉山地幔柱动力学模型的指示意义[J].大地构造与成矿学,2013,37(4):571-579.
LI Hongbo,ZHU Jiang.Contact between the Emeishan Basalt and Maokou Formation:implication for the geodynamic model of the Emeishan mantle plume[J].Geotectonica et Metallogenia,2013,37(4):571-579.
[8] 何冰辉.关于峨眉山大火成岩省一些问题的研究现状[J].地球科学进展,2016,31(1):23-42.
HE Binghui.Research progress on some issues on the Emeishan Large Igneous Province[J].Advances in Earth Science,2016,31(1):23-42.
[9] 邓敏,侯明才,张本健,等.川西南部周公山地区峨眉山玄武岩有利储层分析[J].中国地质,2014,41(2):378-386.
DENG Min,HOU Mingcai,ZHANG Benjian,et al.Favorable reservoir analysis of Emeishan basalt in Zhougongshan Area of southwest Sichuan Province[J].Geology in China,2014,41(2):378-386.
[10] 文龙,李亚,易海永,等.四川盆地二叠系火山岩岩相与储层特征[J].天然气工业,2019,39(2):17-27.
WEN Long,LI Ya,YI Haiyong,et al.Lithofacies and reservoir characteristics of Permian volcanic rocks in the Sichuan Basin[J].Natural Gas Industry,2019,39(2):17-27.
[11] 李素华,王云专,卢齐军,等.火山岩波动方程正演模拟研究[J].石油物探,2008,47(4):361-366.
LI Suhua,WANG Yunzhuan,LU Qijun,et al.Wave equation forward modeling for volcanic rock[J].Geophysical Prospecting for Petroleum,2008,47(4):361-366.
[12] 刘学通,周学锋,刘传奇,等.中心式火山通道边界精细识别技术研究——以渤海A油田为例[J].地球物理学进展,2019,34(1):342-346.
LIU Xuetong,ZHOU Xuefeng,LIU Chuanqi,et al.Accurate boundary recognition research of central volcanic conduit:an example from Bohai A Oilfield[J].Progress in Geophysics,2019,34(1):342-346.
[13] 刘鹏,陈康,何青林,等.四川盆地二叠系火山岩裂隙式喷发模式探讨[J].石油地球物理勘探,2021,56(2):389-397.
LIU Peng,CHEN Kang,HE Qinglin,et al.Exploration of fissure eruption patterns of Permian volcanic rocks in the Sichuan Basin[J].Oil Geophysical Prospecting,2021,56(2):389-397.
[14] 李素华,李兆影.官渡构造下沙溪庙组致密砂岩储层有效识别[J].东北石油大学学报,2014,38(2):35-42.
LI Suhua,LI Zhaoying.Effective identification of tight sandstone reservoir of lower Shaximiao Formation in Guandu Structure[J].Journal of Northeast Petroleum University,2014,38(2):35-42.
辽公网安备 21110002000031号 辽ICP备18011648号-1
