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含泥质低孔渗各向异性黏弹性介质中的波频散和衰减研究 被引量:35
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作者 聂建新 杨顶辉 巴晶 《地球物理学报》 SCIE EI CAS CSCD 北大核心 2010年第2期385-392,共8页
本文定义了各向异性黏弹性参数修正因子,并将其引入到黏弹性模型中以体现泥质含量对黏弹性机制的影响,同时将波传播过程中孔隙介质骨架黏弹性力学机制与两种孔隙流体流动力学机制(Biot流动和喷射流动机制)有机地统一起来处理,从而给出... 本文定义了各向异性黏弹性参数修正因子,并将其引入到黏弹性模型中以体现泥质含量对黏弹性机制的影响,同时将波传播过程中孔隙介质骨架黏弹性力学机制与两种孔隙流体流动力学机制(Biot流动和喷射流动机制)有机地统一起来处理,从而给出了描述含泥质低孔渗孔隙各向异性介质中波传播规律的黏弹性Biot/squirt(BISQ)模型.数值计算结果表明,入射波的方位角、各向异性渗透率以及泥质含量等对含流体复杂孔隙介质中波频散和衰减的影响具有显著的方位各向异性特征,在低频范围内(地震波勘探频率)黏弹性力学机制对波传播能量的衰减起主导作用. 展开更多
关键词 孔隙各向异性 BISQ模型 黏弹性介质 波频散 衰减逆品质因子
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基于AVO流体反演的储层孔隙度预测技术 被引量:14
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作者 方兴 孙夕平 +1 位作者 张明 周超 《石油地球物理勘探》 EI CSCD 北大核心 2012年第3期469-472,358+518,共4页
AVO流体反演技术是将统计学与AVO理论结合,统计判别实际地震数据与测井数据正演的AVO响应,定量预测目标储层的含油气概率分布。针对低孔、低渗碎屑岩储层,为求取孔隙度参数,本文将AVO流体反演技术进行了改进,充分利用其统计学分析优势,... AVO流体反演技术是将统计学与AVO理论结合,统计判别实际地震数据与测井数据正演的AVO响应,定量预测目标储层的含油气概率分布。针对低孔、低渗碎屑岩储层,为求取孔隙度参数,本文将AVO流体反演技术进行了改进,充分利用其统计学分析优势,通过贝叶斯和柯西等概率理论对异常信息进行统计判别,并从中提取出储层的孔隙度信息,实现了X69井区储层的定量预测,减小了预测的多解性。孔隙度预测结果与实际测井值吻合率最高可达到79%,较好刻画出高产井区有效储层空间分布特征。 展开更多
关键词 AVO流体反演 低孔、低渗储层 孔隙度预测 贝叶斯判别 含烃概率
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四川盆地简阳—大足区块地震技术应用效果分析及适用技术评价 被引量:1
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作者 李勇根 徐佑平 +3 位作者 刘颖 杨志祥 唐刚 杨昊 《中国石油勘探》 CAS 2011年第5期125-138,共14页
川中须家河组及雷口坡组气藏分别属于致密砂岩油气藏及碳酸盐岩气藏。致密砂岩储层因低孔隙性和含油气饱和度变化所产生的地球物理特征相对变化微弱,储层和气层预测是地震预测难点;碳酸盐岩成岩作用比较复杂,速度、密度和孔隙度相关较差... 川中须家河组及雷口坡组气藏分别属于致密砂岩油气藏及碳酸盐岩气藏。致密砂岩储层因低孔隙性和含油气饱和度变化所产生的地球物理特征相对变化微弱,储层和气层预测是地震预测难点;碳酸盐岩成岩作用比较复杂,速度、密度和孔隙度相关较差,储层物性定量预测难度较大。通过四川盆地大川中地区简阳—大足区块叠前地震资料处理和储层预测,本次攻关取得了如下主要成果:①分析了影响地震资料保幅处理的主要因素,提出了地震叠前保幅处理的关键技术,形成了有效的保幅处理流程;②典型井致密砂岩的岩石物理分析表明:弹性阻抗和纵横速度比有效区分岩性,纵波速度、横波速度和孔隙度相关较好,有效预测物性,储层预测思路是先区分岩性,后区分物性;③提出了弹性阻抗系数技术预测致密砂岩气层,基于储层特征参数约束下地震技术定量预测碳酸盐岩储层新方法。 展开更多
关键词 致密砂岩 储层特征参数 保幅处理 弹性阻抗系数 四川盆地
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“火山岩油气藏重磁技术应用专题研讨会”在京召开
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《石油地球物理勘探》 EI CSCD 北大核心 2008年第4期421-,共1页
关键词 重磁 火山岩 喷出岩 火成岩 油气藏 专题研讨会
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Key parameter optimization and analysis of stochastic seismic inversion 被引量:11
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作者 黄哲远 甘利灯 +2 位作者 戴晓峰 李凌高 王军 《Applied Geophysics》 SCIE CSCD 2012年第1期49-56,115,116,共10页
Stochastic seismic inversion is the combination of geostatistics and seismic inversion technology which integrates information from seismic records, well logs, and geostatistics into a posterior probability density fu... Stochastic seismic inversion is the combination of geostatistics and seismic inversion technology which integrates information from seismic records, well logs, and geostatistics into a posterior probability density function (PDF) of subsurface models. The Markov chain Monte Carlo (MCMC) method is used to sample the posterior PDF and the subsurface model characteristics can be inferred by analyzing a set of the posterior PDF samples. In this paper, we first introduce the stochastic seismic inversion theory, discuss and analyze the four key parameters: seismic data signal-to-noise ratio (S/N), variogram, the posterior PDF sample number, and well density, and propose the optimum selection of these parameters. The analysis results show that seismic data S/N adjusts the compromise between the influence of the seismic data and geostatistics on the inversion results, the variogram controls the smoothness of the inversion results, the posterior PDF sample number determines the reliability of the statistical characteristics derived from the samples, and well density influences the inversion uncertainty. Finally, the comparison between the stochastic seismic inversion and the deterministic model based seismic inversion indicates that the stochastic seismic inversion can provide more reliable information of the subsurface character. 展开更多
关键词 stochastic seismic inversion signal-to-noise ratio VARIOGRAM posterior probability distribution sample number well density
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Double-porosity rock model and squirt flow in the laboratory frequency band 被引量:8
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作者 巴晶 曹宏 +2 位作者 姚逢昌 聂建新 杨慧珠 《Applied Geophysics》 SCIE CSCD 2008年第4期261-276,共16页
Biot theory research has been extended to the multi-scale heterogeneity in actual rocks. Focused on laboratory frequency bandwidth studies, we discuss the relationships between double-porosity and BISQ wave equations,... Biot theory research has been extended to the multi-scale heterogeneity in actual rocks. Focused on laboratory frequency bandwidth studies, we discuss the relationships between double-porosity and BISQ wave equations, analytically derive the degeneration method for double-porosity's return to BISQ, and give three necessary conditions which the degeneration must satisfy. By introducing dynamic permeability and tortuosity theory, a full set of dynamic double-porosity wave equations are derived. A narrow band approximation is made to simplify the numerical simulation for dynamic double-porosity wavefields. Finally, the pseudo-spectral method is used for wave simulation within the laboratory frequency band (50 kHz). Numerical results have proved the feasibility for dynamic double-porosity's description of squirt flow and the validity of the quasi-static approximation method. 展开更多
关键词 double-porosity rock pseudo-spectral method self-affine fractal microscopicscale mesoscopic scale
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BISQ model based on a Kelvin-Voigt viscoelastic frame in a partially saturated porous medium 被引量:7
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作者 聂建新 巴晶 +3 位作者 杨顶辉 晏信飞 袁振宇 乔海鹏 《Applied Geophysics》 SCIE CSCD 2012年第2期213-222,236,共11页
Taking into account three important porous media mechanisms during wave propagation (the Biot-flow, squirt-flow, and solid-skeleton viscoelastic mechanisms), we introduce water saturation into the dynamic governing ... Taking into account three important porous media mechanisms during wave propagation (the Biot-flow, squirt-flow, and solid-skeleton viscoelastic mechanisms), we introduce water saturation into the dynamic governing equations of wave propagation by analyzing the effective medium theory and then providing a viscoelastic Biot/squirt (BISQ) model which can analyze the wave propagation problems in a partially viscous pore fluid saturated porous media. In this model, the effects of pore fluid distribution patterns on the effective bulk modulus at different frequencies are considered. Then we derive the wave dynamic equations in the time-space domain. The phase velocity and the attenuation coefficient equations of the viscoelatic BISQ model in the frequency-wavenumber domain are deduced through a set of plane harmonic solution assumptions. Finally, by means of numerical simulations, we investigate the effects of water saturation, permeability, and frequency on compressional wave velocity and attenuation. Based on tight sandstone and carbonate experimental observed data, the compressional wave velocities of partially saturated reservoir rocks are calculated. The compressional wave velocity in carbonate reservoirs is more sensitive to gas saturation than in sandstone reservoirs. 展开更多
关键词 BISQ model phase velocity attenuation coefficient VISCOELASTICITY water saturation CARBONATE tight sandstone
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平面波偏移、分角度成像与AVA道集生成 被引量:9
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作者 崔兴福 刘卫东 +2 位作者 刘桂宝 陈湛文 张关泉 《石油物探》 EI CSCD 2007年第6期615-620,共6页
基于波场延拓的叠前深度偏移是实现复杂构造地质体成像的可靠方法,但存在着计算量大、对观测系统适应性差等缺点。平面波偏移是利用波动方程实现精确叠前成像的另一类方法,其基本原理是:通过地表延迟放炮的方式生成平面波震源,利用下行... 基于波场延拓的叠前深度偏移是实现复杂构造地质体成像的可靠方法,但存在着计算量大、对观测系统适应性差等缺点。平面波偏移是利用波动方程实现精确叠前成像的另一类方法,其基本原理是:通过地表延迟放炮的方式生成平面波震源,利用下行波方程进行波场正向延拓得到下行波场;对地表采集的炮集记录,以组合延迟放炮的方式叠加,得到地表平面波记录,利用上行波方程进行波场反向延拓得到上行波场;二者互相关求和,实现平面波地下波场成像。分析表明:平面波成像技术的精度与单平方根算子的共炮点道集偏移和双平方根算子的共中心点道集偏移相当,但计算速度要快得多,且易于并行计算。二维Mamousi模型数值计算表明,射线参数的范围和间隔是影响平面波成像质量的主要因素;不同角度入射的平面波对最终成像结果的贡献是不同的,据此可以有针对性地选择射线参数进行平面波成像。 展开更多
关键词 叠前深度偏移 平面波偏移 分角度成像 AVA道集
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基于泊松碟采样的地震数据压缩重建 被引量:17
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作者 唐刚 杨慧珠 《地球物理学报》 SCIE EI CAS CSCD 北大核心 2010年第9期2181-2188,共8页
在地震资料处理领域,数据的压缩和重建是非常重要的问题,但往往由于数据的严重缺失或采样原因而达不到理想的效果.新发展起来的压缩感知理论为重建欠采样数据提供了可能,而选用合适的采样方法是其中的关键技术之一.本文基于傅里叶变换... 在地震资料处理领域,数据的压缩和重建是非常重要的问题,但往往由于数据的严重缺失或采样原因而达不到理想的效果.新发展起来的压缩感知理论为重建欠采样数据提供了可能,而选用合适的采样方法是其中的关键技术之一.本文基于傅里叶变换和压缩感知理论,采用泊松碟采样,对不完整地震数据进行恢复重建.数值实验表明,与传统的单纯随机采样方法相比,泊松碟采样方法在保持采样随机性的同时,使采样点的分布更加均匀,有效地调节了采样间距,从而达到更好的恢复效果,可以有效地指导地震数据采集设计及重建. 展开更多
关键词 泊松碟采样 傅里叶变换 压缩感知 数据重建
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A stabilized least-squares imaging condition with structure constraints
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作者 刘国昌 陈小宏 +1 位作者 宋建勇 芮振华 《Applied Geophysics》 SCIE CSCD 2012年第4期459-467,496,共10页
Conventional shot-gather migration uses a cross-correlation imaging condition proposed by Clarebout (1971), which cannot preserve imaging amplitudes. The deconvolution imaging condition can improve the imaging ampli... Conventional shot-gather migration uses a cross-correlation imaging condition proposed by Clarebout (1971), which cannot preserve imaging amplitudes. The deconvolution imaging condition can improve the imaging amplitude and compensate for illumination. However, the deconvolution imaging condition introduces instability issues. The least-squares imaging condition first computes the sum of the cross-correlation of the forward and backward wavefields over all frequencies and sources, and then divides the result by the total energy of the forward wavefield. Therefore, the least-squares imaging condition is more stable than the classic imaging condition. However, the least-squares imaging condition cannot provide accurate results in areas where the illumination is very poor and unbalanced. To stabilize the least-squares imaging condition and balance the imaging amplitude, we propose a novel imaging condition with structure constraints that is based on the least-squares imaging condition. Our novel imaging condition uses a plane wave construction that constrains the imaging result to be smooth along geological structure boundaries in the inversion frame. The proposed imaging condition improves the stability of the imaging condition and balances the imaging amplitude. The proposed condition is applied to two examples, the horizontal layered model and the Sigsbee 2A model. These tests show that, in comparison to the damped least-squares imaging condition, the stabilized least-squares imaging condition with structure constraints improves illumination stability and balance, makes events more consecutive, adjusts the amplitude of the depth layers where the illumination is poor and unbalanced, suppresses imaging artifacts, and is conducive to amplitude preserving imaging of deep layers. 展开更多
关键词 Imaging condition least squares plane wave construction operator local event slopes
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Seismic data denoising based on learning-type overcomplete dictionaries 被引量:19
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作者 唐刚 马坚伟 杨慧珠 《Applied Geophysics》 SCIE CSCD 2012年第1期27-32,114,115,共8页
The transform base function method is one of the most commonly used techniques for seismic denoising, which achieves the purpose of removing noise by utilizing the sparseness and separateness of seismic data in the tr... The transform base function method is one of the most commonly used techniques for seismic denoising, which achieves the purpose of removing noise by utilizing the sparseness and separateness of seismic data in the transform base function domain. However, the effect is not satisfactory because it needs to pre-select a set of fixed transform-base functions and process the corresponding transform. In order to find a new approach, we introduce learning-type overcomplete dictionaries, i.e., optimally sparse data representation is achieved through learning and training driven by seismic modeling data, instead of using a single set of fixed transform bases. In this paper, we combine dictionary learning with total variation (TV) minimization to suppress pseudo-Gibbs artifacts and describe the effects of non-uniform dictionary sub-block scale on removing noises. Taking the discrete cosine transform and random noise as an example, we made comparisons between a single transform base, non-learning-type, overcomplete dictionary and a learning-type overcomplete dictionary and also compare the results with uniform and nonuniform size dictionary atoms. The results show that, when seismic data is represented sparsely using the learning-type overcomplete dictionary, noise is also removed and visibility and signal to noise ratio is markedly increased. We also compare the results with uniform and nonuniform size dictionary atoms, which demonstrate that a nonuniform dictionary atom is more suitable for seismic denoising. 展开更多
关键词 learning-type overcomplete dictionary seismic denoising discrete cosine transform DATA-DRIVEN
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