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reservoir parameter inversion
相关语句
  储层参数反演
     RESERVOIR PARAMETER INVERSION USING NEURAL FUZZY SYSTEM
     基于神经模糊系统的储层参数反演
短句来源
     The good geological result shows that using reservoir parameter inversion technique to find out favorable traps and provide drilling target is effective in maturing field during rolling exploratory development stage.
     这说明在滚动勘探开发阶段的老油田,利用储层参数反演寻找有利圈闭,提供钻探目标的方法是有效的。
短句来源
     With 3D visualization and multi component reservoir parameter inversion as the main measures, full 3D structural interpretation, reservoir prediction and description are performed with a view to the distribution characteristics of the turbidite reservoir of Sha3 central member and its configuration relationship between structures and reservoir forming in Chenjia depression.
     针对陈家洼陷沙三中亚段浊积岩储层的分布及其在成藏上与构造的配置关系 ,以三维可视化技术和多元储层参数反演技术为主要手段 ,开展了全三维构造解释和储层预测及描述等系列研究。
短句来源
     An accurate method for 3-D reservoir parameter inversion
     一种三维高精度储层参数反演方法
短句来源
     Based on this,the lateral prediction results of various reservoir parameters may be obtained finally by use of a series of logging seism combination processing and analyzing techniques as synthetic seismogram processing,high resolution processing,seismic velocity wideband constraint inversion,seismic characteristic parameter analysis,nerve network analysis,comprehensive discriminant analysis and reservoir parameter inversion,etc. ,which provides bases for disposing rolling exploration and for the reserve estimation and escalation.
     在此基础上,通过合成记录处理、高分辨率处理、地震速度宽带约束反演、地震特征参数分析、神经网络分析、综合判别分析及储层参数反演等一系列测井地震结合处理分析技术,最终得到各种储层参数的平面预测结果,为滚动勘探部署和储量计算与升级提供依据。
短句来源
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  “reservoir parameter inversion”译为未确定词的双语例句
     Reservoir parameter inversion using seismic and log data
     利用地震、测井资料联合反演储层物性参数
短句来源
  相似匹配句对
     2)Parameter limits of candidate reservoir.
     筛选内容包括:1.首选候选油藏类型; 2.候选油藏参数范围;
短句来源
     (4) The select of Xiabanxi reservoir parameter.
     (4)下坂地水库参数的优选。
短句来源
     RESERVOIR PARAMETER INVERSION USING NEURAL FUZZY SYSTEM
     基于神经模糊系统的储层参数反演
短句来源
     An accurate method for 3-D reservoir parameter inversion
     一种三维高精度储层参数反演方法
短句来源
     Reservoir parameter inversion using seismic and log data
     利用地震、测井资料联合反演储层物性参数
短句来源
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CRIS—Combined Reservoir Interpreting System is a man machine interaction interpreting system about a reservoir. The software system possesses many functions, such as multi reservoir information abstraction,reservoir parameter inversion and combined oil gas prediction. This system is being applied to Daqing Oil Field at present. From the view of software engineering, the paper introduces the main functions, design principle, and structure features of the software system and provides some exploitation...

CRIS—Combined Reservoir Interpreting System is a man machine interaction interpreting system about a reservoir. The software system possesses many functions, such as multi reservoir information abstraction,reservoir parameter inversion and combined oil gas prediction. This system is being applied to Daqing Oil Field at present. From the view of software engineering, the paper introduces the main functions, design principle, and structure features of the software system and provides some exploitation experiences.

CRIS储层描述综合解释系统是一个具有多种储层信息提取、储层参数反演和油气综合预测等功能的人机交互储层解释软件系统,该系统目前已开始在大庆油田应用于生产。本文从软件工程角度介绍该系统的主要功能、软件系统设计思想、系统组成和结构特点以及一些开发经验。

Technique for reservoir parameter inversion using seismic and log data derivesreservoir physical parameters from reciprocal log and cross-boreh0le seismic data.The technique involves the following major steps:. Ascertaining the structural shape of cr0ssmborehole formations- One can de-rive reflection coefficient section embodying interval velocity interfaces fromprestack or poststack seismic data by using B0rn approximate backscattering linear.inversion; and such section is equivalent to prestack...

Technique for reservoir parameter inversion using seismic and log data derivesreservoir physical parameters from reciprocal log and cross-boreh0le seismic data.The technique involves the following major steps:. Ascertaining the structural shape of cr0ssmborehole formations- One can de-rive reflection coefficient section embodying interval velocity interfaces fromprestack or poststack seismic data by using B0rn approximate backscattering linear.inversion; and such section is equivalent to prestack or poststack migrated sectionin effect and is taken as a restraint of cross-borehole structure shape in nonlinearinversion.. Obtainment of cross borehole seismic wave parameters. Parameters such asreflection coefficient,wave impedance and velocity can be estimated respectively bymaking nonlinear inversion with optimal-fitting Newton method.. Formation physical parameter estimation. With the use of neural networktechnique,borehole physlcal parameters are derived from log data,and then they areused as the restraints for borehole parameters of nonlinear inversion. After the non-Iinear inversion of seismic wave parameters,with the aid of neural network quanti-tative analysis,one can derive the spatial distributions of formation parameters in-cluding Porosity,permeability and water saturation degree.Practical software package series of the technique includes versions for I86Ocomputer and advanced workstation. The technique has been used to satisfactorilyprocess seismic data of 1OOOkm. The technique is characterized by 2. 5-D linear waveequation inversion,and joint use of 2-D nonlinear wave equation inversion and neu-ral network analysis- Geologic horizon resolution is nicely equivalent to that of logdata. The technique has been used in some oil fields very successfully.

地震、测井资料联合反演技术,是利用地震、测井数据的互补特性,从井间地震数据中反演地层的物性参数。共分三步进行:①查清井间地层构造形态,应用Born近似反散射线性反演技术,从叠前或叠后地震记录中得到反映层速度界面的反射系数剖面,效果相当于叠前或叠后的偏移剖面,并用作非线性反演的井间几何形态约束信息;②求取井间地震波参数,应用最优拟合牛顿法非线性反演技术,分别得到地层反射系数、波阻抗和介质速度参数;③求取地层物性参数,先应用神经网络技术从测井资料中求取井中物性参数,并以此作为非线性反演的井参数约束信息,在非线性反演地震波参数基础上,应用神经网络定量分析,从井间地震资料中分别得到地层的孔隙率、渗透率和含水饱和度参数的空间分布信息。该技术为实用的系列软件包,有I860微机版本和高档工作站版本。现已处理实际地震剖面近1000km。本技术特色为2.5维线性波动方程反演、二维非线性波动方程反演和神经网络分析的联合应用。地质效果特点是分层分辨率可以与井参数逐层对比,现已在多个油田使用。

Pre stack common middle point data contain abundant reservoir information. P wave velocity, Poisson’s ratio and thin layer thickness influence AVO effect directly. So reservoir parameters inversion can be made by AVO effect, but influences of each parameter on AVO effect must be researched by forward modeling before inversion. In this paper, we research the varying rules of AVO effect in different reservoir parameters composed condition by making typical three layer media...

Pre stack common middle point data contain abundant reservoir information. P wave velocity, Poisson’s ratio and thin layer thickness influence AVO effect directly. So reservoir parameters inversion can be made by AVO effect, but influences of each parameter on AVO effect must be researched by forward modeling before inversion. In this paper, we research the varying rules of AVO effect in different reservoir parameters composed condition by making typical three layer media forward models. We analyze varying features of AVO effect in different velocity anomaly, Poisson’s ratio anomaly and thin layer thickness, and analyze the varying rules of AVO effect gradient with thin layer thickness. We think Poisson’s ratio anomaly has the greatest influence on AVO effect. Besides, the thin layer thickness has influence on it. AVO anomaly gradient varies with thin layer thickness as the harmonic principle.

叠前共中心点道集资料中,包含了丰富的储层信息. P 波速度、地层泊松比、储层厚度等参数直接影响振幅随炮检距( A V O) 的变化特点,利用 A V O 响应可以进行储层参数反演,但在反演之前必须通过正演模拟研究各储层参数对 A V O 响应的影响. 通过制作典型的三层介质正演模型, 研究了不同地层参数组合情况下 A V O 响应的变化规律, 分析了 A V O 响应在不同速度异常、泊松比异常及不同薄层厚度下的变化特点及 A V O 响应梯度随薄层厚度的变化规律.通过正演分析认为泊松比异常对 A V O 响应的影响最大, A V O 响应同时还受薄层厚度的影响, A V O 异常梯度随薄层厚度的变化遵循薄层调谐原理.

 
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