预测储量

  • 网络Predicted reserves;Possible reserves
预测储量预测储量
  1. 因此,用2种曲线预测储量不同的原因在于它们的表达式不能严密地互相推导,忽略常数C造成的。

    Result of study shows that the difference of recoverable reserve predicted by the use of two curves may result from a constant ignored in the expressions .

  2. 这一成果已被应用到控制预测储量的评价中,为今后该区井位部署和储量升级奠定良好的地质基础。

    These achievements have been widely used in the appraisal of controllable predicted reserve , laying a good foundation for future well placement and reserve arrangement .

  3. 最后结合项目实际对股份公司油气控制预测储量数据库系统体系架构,及基于报表级数据通过数据库技术应用的关键技术问题进行初步的研究和探讨。

    Eventually in terms of the actual situation of projects , the framework of the database and essential technologies according to the reporting data were studied and discussed .

  4. 本文将简要介绍油气控制预测储量数据库系统关键算法研究与开发,数据库建设的策略和实施步骤;同时简要介绍中国石油该业务的需求。

    The study and development of the key arithmetic methods about database system , dealing with petroleum controlling & predicting reserves , were briefly introduced . The tactics , implement steps and the demand of Petrochina about this database were illustrated .

  5. 为研究低渗透油层产能状况,评价油层以及预测控制储量和远景储量,提供必要的研究手段和方法。

    This technique provides necessary means in the studies of the productivity of such low permeability rock formations , reser - voir evaluation , active reserve estimation and resource estimation .

  6. 认清沉积相的演化特点及砂体微相的分布规律,对于砂体预测、储量估算、寻找岩性圈闭油气藏等都具有重要的指导意义。

    Clear understanding of the evolution features of sedimentary facies and distribution rules of sand body microfacies is meaningful to sand body prediction , reserve estimation and lithologic trap hydrocarbon reservoir discovery .

  7. 裂缝度与裂缝长度的分布有关,它反映了裂缝总面积所占测量总面积百分率的大小,是裂缝性油气田的优势裂缝发育带预测及储量估算的重要参数。

    Fracture degree is related to the distribution of fracture length , which depicts the percentage of fractured area over the measured area and is a key parameter in prediction of preferential fracture development zone and reserves estimation .

  8. 根据国土资源部门的勘测,吉林省油页岩预测资源储量为254.29亿t,查明资源储量174.26亿t,约占全国总量的54%,居全国第一位。

    According to country resource department reconnaissance , oil shale reserves that have forecasted are 254.29 hundred million tons and proved up is 174.26 hundred million tons . The reserves are the first and due to about 54 percents of country .

  9. 应用弹性BP算法预测贵州金矿储量

    Application of the resilient back-propagation in prediction of the gold deposits in Guizhou

  10. 基于对Logistic旋回的研究,推导提出了一种利用累积产量的倒数关系预测可采储量的新模型。

    Based on study on Logistic cycle , a new model of predicting recoverable reserve by reciprocal relation of cumulative production is derived .

  11. 利用水驱储量预测可采储量的简便方法

    The Handy Method of Forecasting Recoverable Reserves According to Waterflooding Reserves

  12. 甲型、乙型水驱曲线预测可采储量的误差分析

    Error analysis of predicting recoverable reserves with two type water drive curves

  13. 利用稳产阶段的开发数据预测可采储量的简单方法

    A simple method of prediction recoverable reserves

  14. 运用多重分形和小波变换预测油气储量及确定勘探井位

    Application of multifractal and wavelet transform to predict the reserve of petroleum gas and determine the position of drilling

  15. 复杂的油藏地质特征给准确预测油气储量以及制定整体开发方案带来很大困难。

    Complex geologic feature brings lots of difficult to calculate oil and gas reserves and formulate whole development project .

  16. 这些复杂地质情况给准确预测油气储量以及开展油藏数值模拟研究带来很大困难。

    The complicated geological situations bring difficulties to the precise prediction on reserve and the study on reservoir numerical simulation .

  17. 复杂断块油田在滚动开发中存在预测最终探明储量的问题。

    For the complex fault block oil fields , the prediction of final proved reserves is a big problem in petroleum progressive development .

  18. 由于在石油勘探过程中,精确预测石油的储量是一件十分困难的事,而且油田的发展前景总还存在一些不确定因素。

    It is hard to forecast exactly oil reserves during oil exploration , and the foreground of oil field also has some unsure factors .

  19. 目前,对于水驱开发的油田,预测可采储量的方法有:水驱曲线法、产量递减法、预测模型法和数值模拟法。

    For waterflooding oilfields . the methods for prediction of recoverable re - serves include water drive curve , production decline , forecast model and numerical simulation .

  20. 本文根据投影变换原理模拟出煤质预测的空间储量模型,以视口变换为基础,实现空间储量模型的旋转,以便煤质人员从不同的角度观测煤层煤样柱状信息。

    The paper is based on the projection principle to simulate spatial reserve model of coal quality forecast , takes the viewport transform as basis to make the spatial reserve model rotate , which provides coal staff different angle to observe the columnar information of coal seam-sample .

  21. 该模型既可以应用于预测油田可采储量,也可应用于油田中长期规划。

    This model can be used not only in the oilfield recoverable reserves prediction , but also in medium-long term oilfield planning .

  22. 该模型还可以预测剩余可采储量、剩余可采储量的储采比或采油速度等参数。

    The parameters such as remaining recoverable reserves and their reserve production ratio or production rate may be forecasted by the model too .

  23. 在此基础上划分出4个铌钽找矿远景区,预测了资源远景储量(334)为Ta2O5200~500t,Nb2O5300~600t。

    Four Nb and Ta ore prospecting areas are divided . Future reserves prognosis of Ta_2O_5 200 ~ 500t and Nb_2O_5 300 ~ 600t are suggested .

  24. 现金流量法是根据油藏工程和地面工程提供的参数,进行产量、投资、开发成本预测,计算其储量价值。

    Cash flow method is used to make projection on productivity , investment and production cost as per the parameters offered by reservoir engineering and surface engineering and calculate reserves value .

  25. 利用现代计算机工作站技术,综合所有本地区的地质、地震、测井、测试、钻采等全部资料进行储层的横向预测研究,为储量、产能接替等进一步研究提供基础。

    The goal : performing lateral reservoir prediction through integrating all the geologic , seismic , logging , testing , drilling and production data and by using modern workstation technologies to provide basic data for reserves and productivity replacement .

  26. 结果表明,截断帕雷托分布模型与分形方法预测的未发现气田储量大小相吻合,验证了TSP分布模型是预测油气田储量的可靠方法。

    The calculated results show that the reserves in the undiscovered gas fields forecasted by the TSP distribution model are accordant with those forecasted by the fractal method , which verifies that the TSP distribution model is a reliable method of predicting the reserves in oil and gas fields .

  27. 利用这些信息对油气层进行横向预测,查清其分布范围、有效厚度及物性变化,进而预测储量。

    These informations can be used in lateral reservoir prediction to ascertain the distribution extent , effective thickness , and physical property variation of a reservoir and thus to predict the oil-gas reserves of the reservoir .