基于AVO的属性分析

针对川中地区砂体分布多,气藏分布在砂体的那个位置很难确定这一情况,对叠前数据用AVO中的Lambda-Mu-Rho技术获得流体的不可压缩性和硬度。同时对道集模型进行AVO分析处理,总结出不同流体饱和度情况下的地震响应特征;将分析结果与实际井旁道地震资料对比,从而建立可靠的储集层性质与地震响应特征的对应关系,为从地震资料中提取储集层参数提供了依据。利用Biot-gassman流体替换模型,分别求得模型在含油砂岩、含气砂岩和含水砂岩时的对应响应,即获得了多个点的截距-梯度交汇图。然后利用用AVO流体反演定量的得到流体的可能性分布,根据这些叠前属性再结合叠后反演的多个属性,综合评定了该区的气藏分布情况,通过已钻遇的井证实了预测的可靠性,该方法充分的应用了地震的叠前信息,解决了叠后反演所不能解决的流体分布预测问题,在砂体范围内找含流体可能性最大的砂,从而降低了勘探风险。     

A Study of the Relationship between Low-level Jet and inversion Layer over an Agroforest Ecosystem in East China Plain

1.IntroductionWindprofilewiththerelevantlow--leveljet(LLJ)isoneofthemostimportantfactorsthatcharacterizethestructureoftheatmosphericboundarylayer.TheLLJswerereportedinEurope(SladkovicandKanter,1977;Krausetal.,1985),Africa(Anderson,1976;Hart,etal.,1978),NorthAmerica(Stull,1988;Arrittetal.,1997),Australia(MalcherandKraus,1983;Garratt,1985)andEastAsia(Wangetal.,1996;ChenandHsu,1997).DifferentinvestigatorsuseddifferentcriteriaforidentifyingtheLLJs.SomerequiredwindspeedgreaterthanaParti…     

邻近算法在一维大地电磁反演中的应用

总结了大地电磁法( MT)中常用的各种反演算法,并指出其局限性。对邻近算法( NA)加以概述,并将其引入MT反演中。对一维MT合成数据进行反演分析,得到的最大似然模型十分接近理论模型。虽然NA与遗传算法( GA)抗陷入局部极小值的能力大体相等,但NA算法生成的采样点分布密度与误差函数大体一致,因此NA更有利于应用基于积分的参数估值方法。本研究表明,NA收敛速度比GA更快。这说明在一维MT反演中,NA算法比GA算法更具优势。     

裂隙地下水反分析中若干问题探析

本文以反演介质参数为例,讨论了模型的建立、反问题数值计算中实际参数采集及其对成果的影响,有关数值法的适用性、唯一性。     

Field evidence for normal fault linkage and relay ramp evolution: the Kırkağaç Fault Zone,western Anatolia (Turkey)

Linking of normal faults forms at all scales as a relay ramp during growth stages and represents the most efficient way for faults to lengthen during their progressive formation. Here, I study the linking of normal faulting along the active K?rka?aç Fault Zone within the west Anatolian extensional system to reconstruct fault interaction in time and space using both field- and computer-based data. I find that (i) connecting of the relay zone/ramp occurred with two breaching faults of different generations and that (ii) the propagation was facilitated by the presence of pre-existing structures, inherited from the ?zmir-Bal?kesir transfer zone. Hence, the linkage cannot be compared directly to a simple fault growth model. Therefore, I propose a combined scenario of both hangingwall and footwall fault propagation mechanisms that explain the present-day geometry of the composite fault line. The computer-based analyses show that the approximate slip rate is 0.38 mm/year during the Quaternary, and a NE–SW-directed extension is mainly responsible for the recent faulting along the K?rka?aç Fault Zone. The proposed structural scenario also highlights the active fault termination and should be considered in future seismic hazard assessments for the region that includes densely populated settlements.     

测井、井间地震与地面地震数据联合约束下的地质统计学随机建模方法研究

利用能够整合测井信息与井间地震信息的地质统计学随机模拟方法,结合传统的地质统计学反演思路,得到了一种能够同时整合测井、井间地震与地面地震三种先验信息的地质统计学反演与储层建模方法.由于井间射线信息、测井信息与地面地震数据在随机反演与建模过程当中都得到了尊重,因此与传统地质统计学反演仅利用了测井与地面地震数据相比,本文的地质统计学反演与建模方法更充分地利用了先验信息,有效提高了反演的精度,降低了随机建模中的多解性.基于理论数据的测试证实了上述观点.     

The utilization of the double focal transformation for sparse data representation and data reconstruction

In many cases, seismic measurements are coarsely sampled in at least one dimension. This leads to aliasing artefacts and therefore to problems in the subsequent processing steps. To avoid this, seismic data reconstruction can be applied in advance. The success and reliability of reconstruction methods are dependent on the assumptions they make on the data. In many cases, wavefields are assumed to (locally) have a linear space–time behaviour. However, field data are usually complex, with strongly curved events. Therefore, in this paper, we propose the double focal transformation as an efficient way for complex data reconstruction. Hereby, wavefield propagation is formulated as a transformation, where one‐way propagation operators are used as its basis functions. These wavefield operators can be based on a macro velocity model, which allows our method to use prior information in order to make the data decomposition more effective. The basic principle of the double focal transformation is to focus seismic energy along source and receiver coordinates simultaneously. The seismic data are represented by a number of localized events in the focal domain, whereas aliasing noise spreads out. By imposing a sparse solution in the focal domain, aliasing noise is suppressed, and data reconstruction beyond aliasing is achieved. To facilitate the process, only a few effective depth levels need to be included, preferably along the major boundaries in the data, from which the propagation operators can be calculated. Results on 2D and 3D synthetic data illustrate the method's virtues. Furthermore, seismic data reconstruction on a 2D field dataset with gaps and aliased source spacing demonstrates the strength of the double focal transformation, particularly for near‐offset reflections with strong curvature and for diffractions.     

概率神经网络技术在煤田地震反演中的应用研究

实现从构造勘探向岩性勘探阶段的转变,是煤田地震勘探亟待解决的重要问题。其中,地震反演技术是岩性勘探的一种重要手段。为了规避常规反演方法的固有限制,利用概率神经网络技术预测井数据和地震数据之间的非线性关系,得到密度数据体和速度数据体,并获得相应的波阻抗数据体。对某矿区的实际地震资料采用该技术进行岩性反演,得到了较为准确的波阻抗数据体,为岩性解释提供了不可或缺的资料。     

辽河坳陷大民屯凹陷三台子地区下第三系碎屑岩储层预测研究

针对目标区下第三系储层横向变化快,沉积特征不明显等特点,为提高滚动探井、开发井的钻探成功率,本文研制形成一套具有针对性的油气藏勘探预测研究方法.即运用多井约束波阻抗地震反演方法来预测砂体展布,同时对生成的地震波阻抗反演数据体中的振幅、厚度等暗含的有效信息进行提取,对砂体的分布范围及厚度变化进行准确而精细的描述和预测,最终依据此法优选有利相带,部署井位,取得了很好的勘探开发效果.