Tight gas sandstone formation is an important reservoir type. Classification of rock facies based on borehole data is an important step in reservoir analysis. Considering the powerful learning ability of the neural network, many researchers have proposed various neural networks for lithology classification. An optimal network for lithology identification was selected by qualitatively comparing the effects of neural network categories, optimizer types, and the number of hidden layers on network prediction results. First of all, two commonly used neural network models are built for classifying lithology: back propagation neural networks (BPNN) and convolutional neural networks (CNN). Then, the well logging data from the tight gas sandstone formation is regarded as the model input to determine an optimal network for predicting lithology by comparing the confusion matrix and precision of the predicted results. The test in the tight sand reservoir demonstrates that compared with BP neural network, our neural network has better performance in lithology classification. In addition, to prove the rationality of our conclusion and the effect of CNN in other cases, the logging data of carbonate formation with more complex lithology are tested again, and the CNN model still performs well.

Bozhong B gas field is an Archean burial-hill fractured gas reservoir. The burial-hill in this area experienced multi-stage tectonic movement and multi-scale fractures were coupled in the reservoir. The conventional large-scale fracture prediction based on post-stack seismic data and the meso-scale fracture prediction based on prestack anisotropy analysis are both single, which makes it difficult to accurately predict the spatial distribution pattern of underground multi-scale fractures. In this study, (1) multiple pre-stack and post-stack methods were used to predict fractures at different scales, and a comprehensive fracture density field was obtained by random forest fusion. (2) The power law distribution relationship between fracture length and fracture number was defined based on seismic logging data statistics, so as to predict the development frequency of fracture scale at all scales in B gas field; (3) By extracting post-stack fault attributes and pre-stack prediction vectors, combined with FMI logging correction, a guidance field for fracture development direction was established. (4) Combined with fracture density field, fracture length frequency and fracture direction guidance field, multi-scale fracture distribution prediction of B gas field is realized. A set of technical flow for multi-scale fracture prediction of buried hill is formed, which provides technical support for the development of buried hill fractured gas field, effectively guides well location deployment, and has exploratory significance for subsequent multi-scale fracture seismic prediction research.

渤中26-6油田太古界潜山储层品质受风化程度与裂缝发育共同控制,为实现储层评价与储量动用,形成基于断?貌双控的太古界潜山储层综合预测技术.潜山上覆地层时代关系与沉积厚度决定了潜山风化剥蚀程度,基于此通过古地貌恢复实现储层风化程度平面分区.印支期形成的近东?西向高角度断裂与印支至喜山期长期活动的边界正断层对油田裂缝发育起重要控制作用,基于Radon变换与蚂蚁体技术实现裂缝发育平面预测.以风化程度平面分区为低频,裂缝发育平面预测为高频,利用高阶小波变换技术实现高、低频信息有效融合,综合表征储层品质.基于融合属性将储层划分为I类、II-1类与II-2类,I类储层品质最佳,为东营组地层沉积之前太古界潜山持续出露同时裂缝带发育区域.Ⅱ-1类储层品质次之,为沙河街组地层沉积之前太古界潜山持续出露同时裂缝带发育区域.Ⅱ-2类与II-1类储层品质接近,为东营组地层沉积之前太古界潜山持续出露但裂缝带一般发育区域.分类结果与测井及测试资料认识吻合,指导建立了油田储量动用策略,证实基于风化及裂缝发育主控因素开展地震储层预测,并基于属性融合方法实现结果综合的太古界潜山储层技术思路具有实用意义.

现有叠前宽方位裂缝预测方法基于数据驱动,地质模式认识无法干预预测过程;渤海湾盆地M气田太古界潜山裂缝性储层主要受内幕带高角度断裂控制.为此,基于M气田宽方位地震资料,提出基于高角度断裂约束的方位傅里叶系数叠前反演裂缝预测方法.首先,利用f-k滤波与高分辨率Radon变换从叠后地震资料中提取高角度断裂信息,进一步映射为方位傅里叶系数反演方法中的先验权重,以此建立高角度断裂约束的裂缝预测反演目标泛函,最终求解得到裂缝密度与方位角信息.所提方法在M气田的应用效果表明,裂缝预测结果更具地质意义,与井上解释的裂缝特征以及各井生产测试情况吻合较好,可用于开发井井位设计与优化.

综合运用岩心、测井、地震、野外露头及生产测试资料对渤中19-6太古宇潜山储层发育特征及主控因素进行了分析.研究发现渤中19-6太古宇潜山储层主要受岩石类型、构造运动和风化淋滤等因素影响,储层纵向分为风化带和内幕带,其储层发育主控因素及储层空间分布模式差异明显.其中,风化带受构造和风化淋滤作用双重控制,发育构造缝、风化缝、溶蚀孔隙等储集空间类型,裂缝整体发育呈网状,储层连通性好.受宏观古地貌控制,风化带厚度从古构造高部位向构造低部位呈逐渐减薄的"似层状"分布模式.同时,受岩石类型、局部断层、沟-脊微地貌以及坡度等因素的影响,风化带厚度局部增厚或减薄.潜山内幕带主要受内幕高角度断层控制,基本不受风化作用影响,储集空间以构造缝为主.通过内幕高角度断层的识别和刻画,认为内幕带储层沿高角度断层带状、漏斗型分布.上述认识对于渤中19-6凝析气田开发方案的编制,特别是为潜山储量动用及注采井网部署奠定了重要基础.

太古界变质岩潜山储层中普遍发育致密带,井上钻遇特征类似于沉积岩的隔夹层.它对潜山储集层、流体系统等的认识至关重要,而且直接影响了开发井网的部署,但目前针对潜山"隔夹层"方面的研究非常少.综合岩心、测井、生产动态以及野外露头,并引入地貌学的相关研究成果,对太古界潜山"隔夹层"的类型、成因机理及发育模式进行研究.结果表明:太古界潜山隔夹层可分为构造隔夹层、岩性隔夹层、物性隔夹层3种类型.构造隔夹层的发育模式受控于构造裂缝分布的空间不均一性和后期的风化淋滤程度,发育模式分为似层状和石蛋状,对流体分布影响小,但对井网部署影响大.岩性隔夹层主要受控于变质岩原岩类型及其中暗色矿物含量,发育模式分为块状和层状,能够在横向和纵向上对流体起到隔挡作用,形成层状或块状油气藏.物性隔夹层主要受控于储集空间的充填程度,多数发育在潜山顶部,形成潜山油气藏风化壳顶部的"硬壳".该认识有效指导了渤中19-6大型凝析气田的储量品质评价和开发井网部署.

双重介质油藏储层建模方法是表征潜山裂缝型储层的主要方法,影响建模质量的因素较多,需深入研究.以渤海湾变质岩潜山A油田为例,阐述了储层建模及质控方法.综合动静态资料分析储集空间、介质物性及渗流差异,判断储层内是否存在多重介质,这是双重介质建模方法应用的前提;分析风化作用、断裂活动对基质的改造作用,提出将基质系统细分为共同改造型、断裂改造型、未改造型,分类相模拟建立基质模型,有利于改善基质系统建模质量;考虑研究资料及其描述尺度开展裂缝分组,对不同尺度裂缝采用与之相适应的建模方法,共同构建裂缝网络模型;统计裂缝密度属性与裂缝形状因子σ的关系,对模型进行质控,若存在一致性说明模型质量较好.本文方法可推广应用于同类型潜山油藏,有利于改善双重介质油藏储层的建模质量.

Sand body superposition relationship analysis is a challenging issue for reservoir characteristics description.The complex superposition relationship can significantly affect the reserve calculation, quality evaluation and accuracy of the well placement.Through constructing reservoir characteristics description scheme based on the seismic multi-attribute inversion technology, the"step-wise method"is utilized to choose the optimal attributes and multi-attribute neutral network inversion algorithm.Hence, the lithologic identification technology based on the integration of log data and seismic attribute non-linearity is realized and the vertical reservoir resolution is improved effectively.The application results show that compared with the conventional post-stack impedance inversion, the seismic multi-attribute inversion can obtain high resolution density data, which meets the requirements of the fine reservoir research and effectively solves the problem of reservoir superposition characterization in K oil field.

PreviousNext No AccessInternational Geophysical Conference, Beijing, China, 24-27 April 2018The research of tectonic interpretation model in L oilfield of pre-salt carbonate Santos BasinAuthors: Yan NieTingen FanYunfeng GaoWentao CaiPengjun FanYan NieCNOOC Research InstituteSearch for more papers by this author, Tingen FanCNOOC Research InstituteSearch for more papers by this author, Yunfeng GaoCNOOC Research InstituteSearch for more papers by this author, Wentao CaiCNOOC Research InstituteSearch for more papers by this author, and Pengjun FanCNOOC Research InstituteSearch for more papers by this authorhttps://doi.org/10.1190/IGC2018-185 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract Brazil santos basin is in in the east of Brazil. L oilfield is located in the eastern part of santos basin uplift belt, crack under salt basin structural layer as main purpose.Because L oilfield belongs to deep water pre-salt carbonate oilfield, at the same time, complex lithology, reservoir internal intrusive rock destruction, affected by the eruption of rock at the bottom of the reservoir, so the seismic data quality is not good to do the seismic interpretaion. So this article discusses the application of structure model to guide the tectonic interpretation work. We first need to analyze the regional tectonic evolution and tectonic evolution stages;Then for each well do rock physics analysis, aided to analyze seismic response characteristics;Due to the existence of complex lithology of the region, we need to do forward modeling research, at last, analyze the seismic facies, establish the region tectonic pattern, under the guidance of schema, complete the structure interpretation efficiently and accurately.Successfully guide L oilfield development stage work. Keywords: tectonic, interpretation, carbonatePermalink: https://doi.org/10.1190/IGC2018-185FiguresReferencesRelatedDetails International Geophysical Conference, Beijing, China, 24-27 April 2018ISSN (online):2159-6832Copyright: 2018 Pages: 1821 publication data© 2018 Published in electronic format with permission by the Society of Exploration Geophysicists and Chinese Geophysical SocietyPublisher:Society of Exploration Geophysicists HistoryPublished Online: 11 Dec 2018 CITATION INFORMATION Yan Nie, Tingen Fan, Yunfeng Gao, Wentao Cai, and Pengjun Fan, (2018), "The research of tectonic interpretation model in L oilfield of pre-salt carbonate Santos Basin," SEG Global Meeting Abstracts : 760-763. https://doi.org/10.1190/IGC2018-185 Plain-Language Summary KeywordstectonicinterpretationcarbonatePDF DownloadLoading ...

At present,geostatistical inversion has been widely used in the reservoir prediction for its high spatial resolution.The inversion accuracy is influenced by many factors,such as geological framework model,vertical/latertal variation,lithology ratio,etc.In usual,the number for latertal range was calculated via a large number of testing based on seismic attribute extracting from Constrained Sparse Spike Inversion (CSSI).The disadvantage for the traditional method is as follows:1) the process is largely influenced by human factors with strong randomicity;2) there is no geological implication for calculated parameters.In view of this problem,one method,calculating transverse range based on geological information dominated by sequence stratigraphic framework,is proposed in this paper.Limited by sequence stratigraphic framework,the underground reservoir geological information for point bar (length and width) is calculated through the fitting formula and empirical formula on the basis of sand body thickness in single positive cycle of well.The transverse range,applied in geostatistical inversion,will be obtained through statistical analysis based on these information.It is applied to the 2nd member of lower Minghuazhen formation in north block of W oilfield in Bohai.The result shows that geostatistics inversion data,controlled by transverse range calculating by this new way,correctly coincides with well geological information with high resolution,and can accurately characterizes the sand body superimposing relationship within the reservoir and helps improving the precision for reservoir characterization.It can be served as basis for well placement and well adjustment in the development stage.

When dividing vertical layer is not isochronal and the oil field has sparse well pattern,the accuracy of reservoir parameter prediction in reservoir static modeling will be reduced.Especially in the offshore oil field with a little drilling,it is difficult to establish the reservoir parameter model with high accuracy based on geological statistics method.In order to establish a better isochronous stratigraphic framework and improve the accuracy of reservoir parameter prediction,the method of dip steering reservoir static modeling based on seismic isochronal stratigraphic framework is studied.For the method we establish three-dimensional strata model by dividing vertical layers under the steering of seismic dip cubes,predict reservoir spatial variation from sensitive seismic attributes and combine with well data to establish three dimensional model of reservoir parameters.Comparing with conventional structural modeling methods,stratigraphic framework model under the steering of seismic dip cubes is established in the method.At the same time,the transfer function calculated from seismic attributes to establish reservoir parameter model,which is different from geological statistics method that takes variation function to build reservoir model.And the method can improve the accuracy of reservoir model when the oil field has sparse well pattern.The practical application of an offshore oil field with sparse well pattern shows the method establishes a more isochronous stratigraphic framework than conventional modeling method and further improves the accuracy of the geological modeling.

PreviousNext No AccessSEG Technical Program Expanded Abstracts 2015Well-driven seismic data processing techniques and their application in K oilfieldAuthors: Ma Shufang*Fan TingenTian nanJing YongquanFan PengjunMa Shufang*CNOOC Research InstituteSearch for more papers by this author, Fan TingenCNOOC Research Institute and Southwest Petroleum UniversitySearch for more papers by this author, Tian nanCNOOC Research InstituteSearch for more papers by this author, Jing YongquanCNOOC Research InstituteSearch for more papers by this author, and Fan PengjunCNOOC Research InstituteSearch for more papers by this authorhttps://doi.org/10.1190/segam2015-5884403.1 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract In this paper, zero-offset VSP data were used to extract spherical spreading factors and Q factors, optimize predictive deconvolution steps and identify multiples of surface seismic data. Some key well-driven seismic processing techniques, including spherical spreading compensation, Q compensation, predictive deconvolution, spectrum-constrained deconvolution and demultiple were realized. The processing test on 3D seismic data in K oilfield shows that these techniques can significantly enhance seismic imaging. Keywords: deconvolution, VSP, Q, multiplesPermalink: https://doi.org/10.1190/segam2015-5884403.1FiguresReferencesRelatedDetails SEG Technical Program Expanded Abstracts 2015ISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2015 Pages: 5634 publication data© 2015 Published in electronic format with permission by the Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished Online: 19 Aug 2015 CITATION INFORMATION Ma Shufang*, Fan Tingen, Tian nan, Jing Yongquan, and Fan Pengjun, (2015), "Well-driven seismic data processing techniques and their application in K oilfield," SEG Technical Program Expanded Abstracts : 5580-5584. https://doi.org/10.1190/segam2015-5884403.1 Plain-Language Summary KeywordsdeconvolutionVSPQmultiplesPDF DownloadLoading ...

基于VTI介质的假设,通过结合单程波方程与VTI介质的时间偏移频散关系,发展了一种基于波动方程的VTI介质各向异性叠前时间偏移方法,给出了由均方根动校正速度与均方根各向异性参数确定的走时和幅值解析表达式.同时,综合分析速度与各向异性参数对CRP道集走时的影响,通过CRP道集内同相轴剩余动校时差的迭代拾取,实现了在偏移过程中偏移速度与各向异性参数的建模.理论模型试算和南海某深水区二维地震数据成像结果表明,应用VTI介质各向异性叠前时间偏移方法可以实现大角度倾斜界面更为准确的成像归位,同时能够保证剖面的能量聚焦效果.

PreviousNext No AccessSEG Technical Program Expanded Abstracts 2013Absorption analysis promoting multiattribute inversion and application for fluid recognitionAuthors: Xianwen ZhangTingen FanGuangyi HuPengjun FanJianhua DongXianwen ZhangCNOOC Research InstituteSearch for more papers by this author, Tingen FanCNOOC Research InstituteSearch for more papers by this author, Guangyi HuCNOOC Research InstituteSearch for more papers by this author, Pengjun FanCNOOC Research InstituteSearch for more papers by this author, and Jianhua DongCNOOC Research InstituteSearch for more papers by this authorhttps://doi.org/10.1190/segam2013-0515.1 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract A new wavelet energy absorption (WEA) method named GST_WEA and a consequent multi-attribute inversion technique are proposed in this paper. The GST_WEA method, which is based on the generalized S-transform (GST), integrates the high time-frequency resolution of GST and the advantage of WEA algorithm. From the GST_WEA, a high/low frequency absorption factor is calculated, and then the absorption factor combined with the other hydrocarbon related seismic attributes are used for the resistivity logs inversion via the Neural Network algorithm, which is referred as absorption analysis promoting multi-attribute inversion technique. The real data examples demonstrate the effectiveness of the two proposed methods for the hydrocarbon detection in the exploration stage, and the fluid recognition within sand body in the development stage, respectively. Permalink: https://doi.org/10.1190/segam2013-0515.1FiguresReferencesRelatedDetails SEG Technical Program Expanded Abstracts 2013ISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2013 Pages: 5258 Publisher:Society of Exploration Geophysicists HistoryPublished: 19 Aug 2013 CITATION INFORMATION Xianwen Zhang, Tingen Fan, Guangyi Hu, Pengjun Fan, and Jianhua Dong, (2013), "Absorption analysis promoting multiattribute inversion and application for fluid recognition," SEG Technical Program Expanded Abstracts : 2573-2577. https://doi.org/10.1190/segam2013-0515.1 Plain-Language Summary PDF DownloadLoading ...

Seismic slice (horizontal slice, stratigraphic slice and stratal slice) technique is a widely used means in seismic interpretation, however the time-crossing phenomenon was sometimes developed under complicated geology conditions. According to the predecessor's understanding for the phenomenon, and based on the basic assumption on which the seismic events are the basic isochronous stratum unit and by strictly following the occurrence changing trends of the seismic events the true stratal slices were acquired by applying automatic tracking technique which is based on dip control body. Based on the slices and by combining geological characteristics and seismic response characteristics, the accurate isochronous stratigraphic framework of the target layers were established, the sub-layer correlation and classification inside the reservoir, the vertical structure changing and lateral distribution analysis were conducted, the excellent results were achieved in the research.

作为低碳经济和清洁能源利用的一个重要组成部分,液化天然气(LNG)在全球能源市场上的份额逐年增加.结合中国石油公司参与LNG液化厂项目的最新进展,对全球LNG液化厂的资源供应情况进行了分析,总结了全球LNG资源分布的特点,并按照LNG项目的预期投产顺序,对2020年前LNG的供应做了预测,在此基础上对LNG资源和供应提出了几点认识:①在未来10年内LNG资源是充足的;②LNG资源主要分布在卡塔尔、伊朗、澳大利亚和尼日利亚4个国家,其可采储量占全球LNG可采储量的82%,③预测LNG供应将以平均9%的速度增长.