共查询到17条相似文献,搜索用时 198 毫秒
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《海洋地质与第四纪地质》2010,(3)
参考"石油天然气地球化学勘查技术规范"数据处理、异常评价与解释的要求,充分应用地理信息系统(GIS)可视化技术、空间分析功能、图层叠置功能,智能计算出海域油气化探异常系数,包括异常强度、异常面积、异常衬度、异常点数等指标。结合相关地质条件,耦合了神经网络、模式识别等数学模型,开发了具有自主知识产权的海域油气化探综合评价软件,并将该软件应用于实际工作中,取得了较好的效果。 相似文献
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随着海洋地质调查程度的日益深入,海洋地质调查数据越来越多。海洋地质调查地震勘探解释成果图是研究海洋地质构造,指导海洋油气勘探开发的重要资料。借助海洋地质调查地震勘探解释成果图数据,通过数据预处理、构建地层面和加入断层约束线处理,并根据三维可视化展示的需求,制定了一体化的三维可视化数据模型结构。基于一体化数据模型,利用三维图形软件开发包Open Inventor,在.Net平台上采用C#开发语言开发了海洋地质三维可视化软件,实现了地层数据、断层数据、井数据的综合展示和交互,通过实际资料的应用表明,一体化三维可视化数据模型具有一定的研究价值,可以很好地服务于地质研究人员。 相似文献
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东海陆架盆地油气化探远景区的探讨地矿部上海海洋地质调查局李维显1工作概况1988—1991年我局与石海局培训化探中心合作,在东海西湖凹陷中南部结合工程地质调查进行多指标的油气地球化学勘查。1988年发现平湖断裂带及海礁凸起油气化探异常,促进了东海西湖... 相似文献
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采用沉积物、海水等不同介质,应用7种方法在台西盆地某坳陷开展了油气地球化学综合调查。根据指标间的相关性、共生与伴生组合等进行指标分类和统计分析,在地球化学场和场源分析的基础上,结合地质-地球物理资料,圈定3个Ⅰ级异常区、2个Ⅱ级异常区和2个Ⅲ级异常区,为该坳陷油气远景评价提供了可信的地球化学依据。同时,也证实了化探方法和指标海洋油气资源勘探中的有效性。 相似文献
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海洋油气遥感异常除了受油气地质条件控制外,还受到海流、潮汐、气象、海底地形、陆源物质、海洋生物等影响和干扰,为此,我们用相同处理模式,对南黄海不同时相MODIS数据进行了油气遥感异常的稳定性对比研究,并同周围已知海陆油气田作了对照比较。可以确定,海洋油气遥感技术的主要干扰为云层气候,其次是海流、潮汐,它可以有条件地有效揭示海域油气遥感异常。用经济实用型海上油气遥感技术处理解释的2002年3月7日的MODIS油气遥感异常是可信的,它正确反映了南黄海及其周围海域的油气田分布,可以作为海上油气勘探预测选区评价的依据。用相邻油气田的产能类比法估算,南黄海盆地是一个以勘探中、上古生界大—中型油气田为主,兼探白垩-第三系小油气田,可能发现2~3个中、上古生界大—中型油气田的油气勘探远景区。 相似文献
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常规的油气化探方法一般是应用烷烃类作为油气勘探的基本指标,但是烷烃类易受人类活动和生物活动的干扰,使常规的化探技术在油气勘探中一直受到限制。人们开始考虑采用直接的生物标记化合物来预测油气藏,如芳烃系列中的苯系化合物苯(benzene)、甲苯(toluene)、乙苯(ethylbenzene)、二甲苯(xylem),简称BTEX。国内外研究表明,BTEX基本不受人类活动和生物活动的干扰,对油气藏具有良好的指示作用。依据南海某区的实测资料,采用自主研发的油气化探可视化评价软件进行数据处理,剥离背景异常,圈出有效的BTEX异常,并与靶区地层剖面进行了对比,结果证实了BTEX对海域油气藏具有良好的指示作用。 相似文献
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The successful use of near-surface anomalous signals, exhibited in all petroliferous basins, must lead to great development in petroleum exploration. The elementary equations and methods for objective and accurate separation of anomalous signals from background signals are the most critical requirements in these surface geochemical surveys. Therefore, we have worked up a series of fundamental equations and methods for eliminating surface interference and influences of geological conditions on anomaly intensities and recognizing multi-type anomalies of uni- and multi-variates, by using statistics, fractal geometry, wavelet analysis and artificial neural networks. These equations illustrate that the threshold (i.e. the boundary between background and micro-seepage anomalies) is determined by means, standard deviations and prior probabilities of background and micro-seepage anomalies when multi-normality is met, and that the traditional equation for the threshold (background mean plus one or two standard deviations) is not correct. In the face of many new equations and methods, it is important how to comprehensively use them to resolve the problems in geochemical surveys. A geochemical survey in the south slope of the Dongying depression, eastern China provides a good opportunity to address this issue. The anomalies obtained with the traditional equation do not reflect oil/gas fields. This study reveals three problems in the previous data-processing and anomaly recognition: (1) the surface interference caused by the variation of soil composition was not identified and removed, (2) the influence of caprock thickness on anomaly intensities was not revealed and eliminated, and (3) the micro-seepage (related to oil/gas pools) and seepage (related to faults) anomalies were not separated and correctly recognized. Furthermore, the interaction of these problems makes the data-processing and anomaly recognition more difficult. To ensure effective elimination of the surface interference and caprock thickness influence and correct recognition of uni-variate anomalies, we iteratively applied the wavelet-analysis-based methods to eliminate the surface interference and caprock thickness influence, and statistical methods with new fundamental equations to recognize uni-variate anomalies of seepage and microseepage. And then, multi-variate anomalies of seepage and microseepage were recognized with our fundamental equations and the corresponding methods. In the results, the seepage anomalies display a string-bead-shaped pattern and are distributed along faults, and the micro-seepage anomalies are ring-shaped and coincide with oil/gas pools, sandbodies or traps. Therefore, reprocessing of geochemical data with our fundamental equations and methods combined in an iterative manner can resolve the complicated problems in data-processing and anomaly recognition and thus greatly improve the predictive capability of surface geochemical survey. 相似文献
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大量研究表明南海北部东沙海域的中生界地层具有很好的油气成藏条件, 是油气勘探的有利区域。但中生界地层构造成像不清晰限制了该区域油气资源的准确评价。本文利用在该海域采用单源单缆长排列采集的三维地震数据, 提出了对该类数据的优化处理技术方案, 以期获得中生界地层的清晰成像。处理过程主要包括各种噪音干扰和不同类型多次波的压制, 尤其是比较严重的海洋湍流干扰压制, 提高中深层反射信号信噪比; 通过压制气泡和压缩子波提高地震反射的分辨率; 同时利用高密度速度分析进行各向异性双谱非双曲线动校正, 提高成像质量, 使波组特征、振幅特征更为明显。针对密集二维采集数据特点, 通过合理的面元规则化处理, 使得覆盖次数均匀和横向分辨率提高, 实现高精度三维成像。本研究针对噪音干扰较严重的单源单缆长排列加密地震资料, 按照三维地震资料进行数据处理, 处理后明显突出了浅、中、深各层的有效信息, 特别是针对中生界的成像质量改善更为明显, 形成了一套行之有效的处理流程, 为今后邻近区块的勘探和资料处理提供了技术基础, 也为东沙海域的油气勘探与评价提供了科学依据。 相似文献
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It is a conventional method for petroleum prospecting to generally use paraffin hydrocarbon as basic indexes of oil and gas. This conventional geochemical technology, however, shows some limits in the prospecting as paraffin is vulnerable to influences from human and biologic activities. Consequently, BTEX (short for benzene, toluene, ethyl benzene and xylem, which are direct biomarkers) among aromatic hydrocarbon series has been taken into account for the oil and gas prediction. Domestic and foreign study results demonstrate that BTEX is hardly disturbed and can well indicate oil and gas reservoirs. Based on measured data from a South China Sea area, the present authors have used self-developed visual assessment software for petroleum prospecting has been used to process data, strip background anomalies, and outline significant BTEX anomalies. By comparison with stratigraphic profiles of the target area, it is confirmed that BTEX is a good indication of marine oil and gas during the petroleum prospecting. 相似文献
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海洋和大气数据多模式动态可视化系统的设计和实现 总被引:1,自引:0,他引:1
为了实现海洋和大气数据多模式动态可视化,本系统使用VC++和CG着色语言进行开发,渲染引擎基于OpenGL三维图形标准。提出了一系列面向海洋和大气数据的模式分析方法,包括:探针功能、线模式、面模式、体模式、矢量模式和动态时间序列分析等,实现了将海量多维海洋大气数据转换为三维空间或动态演变的图像,同时完成用户交互处理操作。并将可视化技术应用于长时间序列的海洋大气数据,通过实时动态的可视化图像来体现海洋大气数据的动态变化过程。结果表明,该系统可实现常见海洋和大气数据的多模式动态可视化。 相似文献