3D Slicing of Weighted Index for Reservoir Quality of Lower Miocene Rocks, Belayim Marine Oil Field, Gulf of Suez, Egypt

This study aims to have a single coefficient resulting from the integration of all the reservoir parameters through which a decision can be taken to determine the best quality places in the reservoir. The conventional well logging data in nine wells were used to determine the reservoir parameters in the study area. Seven different parameters were calculated, five of them were directly proportional to the quality of the reservoir, while the remaining two parameters which represent shale volume and water saturation were inversely proportional to the reservoir quality. The index of each parameter was calculated. A new value was created from the integration of the seven different parameter indexes called the weighted index for the reservoir quality. The reservoir quality values were sliced in the three dimensions depending on the effect of all reservoir parameters and not on any single parameter. It is clear from the results of this study that horizontal and vertical slicing, as well as cut-off values, illustrates that the middle and upper parts are the best places for the reservoir to explore hydrocarbons, where the values of the weighted index of the reservoir quality range from 0.65 to 0.9. Meanwhile, the quality of the reservoir decreases in its lower parts.

Quality evaluation of glutenite reservoirs of intergranular-secondary dissolution pore type using a quantitative method

Glutenite(coarse-grained clastic)reservoirs of intergranularesecondary dissolution pore type are dominated by residual intergranular pores and secondary dissolution pores,and characterized by low porosity,low permeability,strong heterogeneity,and highly variable physical properties.It is difficult to conduct a quantitative quality assessment of these reservoirs while their primary control factors remain unclear.In this paper,experimental core data and drilling,logging and seismic data are used to assess the effect of sedimentary facies on reservoir quality.Favorable sedimentary facies zones are identified by analyzing the characteristics of glutenite reservoirs,which includes investigating rock components and their effects on reservoir quality.Argillaceous matrix content and rigid particle content are identified as the primary control factors for these reservoirs.Logging curves sensitive to reservoir quality are selected and examined to continuously characterize the physical parameters of the reservoirs.It establishes a calculation model of reservoir assessment parameters through multivariate regression and determines the quantitative assessment parameter Fr.The quality of the glutenite reservoirs is defined using conventional logging curves.This study also predicts the plane distribution of high-quality reservoirs through geostatistical inversion of the reservoir assessment parameters based on conventional wave impedance inversion,thus providing insight and guidance for quantitative assessment and quality prediction of glutenite reservoirs of the intergranular-secondary dissolution pore type.The application of this method to well deployment based on qualitative evaluation of the glutenite reservoirs in oilfields yielded favorable results.

采用带注意力机制3D U-Net网络的地质模型参数化技术

针对卷积神经网络增强的主成分分析技术(CNN-PCA)这种地质模型参数化技术在油藏复杂地质特征刻画精度和泛化能力方面存在的问题,不使用预训练好的C3D视频动作分析模型来提取三维模型风格特征,而使用新的损失函数并引入一种带注意力机制的3D U-Net网络来补全主成分分析方法(PCA)降维过程中丢失的地质模型细节信息,并以一个复合河道砂体油藏为例进行了应用效果分析。研究表明,与CNN-PCA技术相比,采用带注意力机制的3DU-Net网络能够更好地补全PCA降维过程中丢失的地质模型细节信息,在反映原始地质模型的流动特性方面具有更好的效果,并能改善油藏历史拟合的技术效果。

SWAT模型在淅川县丹江口库区的应用研究

水文模型是水文科学研究中重要的方法和手段之一.在分布式水文模型SWAT支持下,利用研究区DEM生成河网和流域边界并划分子流域,根据在收集资料、实地调查和土壤采样分析的基础上,通过对模型所需的气象、土壤、地形、土地利用等影响因子进行参数化,模拟了淅川县丹江口水源区的水文过程与产沙过程.

青狮潭水库降水集合预报模式构建及应用

数值降水集合预报能够降低因单值预报带来的不确定性,是国内外关注的热点。但当前研究多将集合样本预报技巧等同对待,采用集合算数平均得到最终预报结论,这种集合预报方式较为粗放,难以有效区分不同集合样本的差异。针对该问题,本文选择位于广西暴雨中心的青狮潭水库为研究区,构建了基于ETS评分的综合定量评价模型,通过WRF模式21组参数化方案敏感性分析,以及样本数量与集合预报技巧的定量分析,依据ETS评价结果实现了青狮潭水库降水集合预报方案的构建。经验证,本文构建的集合预报方案较集合算数平均预报技巧更高,表现更加稳定。

A smart productivity evaluation method for shale gas wells based on 3D fractal fracture network model

The generation method of three-dimensional fractal discrete fracture network(FDFN)based on multiplicative cascade process was developed.The complex multi-scale fracture system in shale after fracturing was characterized by coupling the artificial fracture model and the natural fracture model.Based on an assisted history matching(AHM)using multiple-proxy-based Markov chain Monte Carlo algorithm(MCMC),an embedded discrete fracture modeling(EDFM)incorporated with reservoir simulator was used to predict productivity of shale gas well.When using the natural fracture generation method,the distribution of natural fracture network can be controlled by fractal parameters,and the natural fracture network generated coupling with artificial fractures can characterize the complex system of different-scale fractures in shale after fracturing.The EDFM,with fewer grids and less computation time consumption,can characterize the attributes of natural fractures and artificial fractures flexibly,and simulate the details of mass transfer between matrix cells and fractures while reducing computation significantly.The combination of AMH and EDFM can lower the uncertainty of reservoir and fracture parameters,and realize effective inversion of key reservoir and fracture parameters and the productivity forecast of shale gas wells.Application demonstrates the results from the proposed productivity prediction model integrating FDFN,EDFM and AHM have high credibility.

一种抗高温暂堵剂的研制

随着油气资源勘探开发程度的不断提高,勘探领域逐渐走向陆地深层超深层、海洋深水深层、高温地热以及干热岩等复杂高温地层。目前常用堵漏材料抗高温性能较差、酸溶或降解性能较差,极易对高温储层造成永久伤害,无法满足高温储层酸化解堵的技术需要。为此,基于所研选的抗高温刚性颗粒、高强度片状材料及抗高温可酸溶纤维,研制出适用于不同裂缝开度的抗高温暂堵剂FRACSEAL,其抗温能力可达210℃,可有效封堵裂缝开度达10 mm裂缝,承压能力可达20 MPa,酸溶率可达94%以上,适用于高温储层裂缝。

基于CATIA的抽水蓄能电站库盆三维设计研究

抽水蓄能电站的库盆设计为了做到挖填平衡,前期设计需进行大量方案比选工作。基于CATIA平台,研究采用参数化建模方法建立抽水蓄能电站库盆的三维模型,并用三维模型计算库盆水库库容以及开挖、填筑等主要工程量;实现了通过调整水位条件和修改模型的骨架来驱动更新三维模型,快速形成不同方案的库盆三维设计模型,极大提高了抽水蓄能电站方案比选的工作效率。

An Integrated Mass Balance Approach for Assessing Hydrocarbon Resources in a Liquid-Rich Shale Resource Play:An Example from Upper Devonian Duvernay Formation,Western Canada Sedimentary Basin

Petroleum resource assessment using reservoir volumetric approach relies on porosity and oil/gas saturation characterization by laboratory tests.In liquid-rich resource plays,the pore fluids are subject to phase changes and mass loss when a drilled core is brought to the surface due to volume expansion and evaporation.Further,these two closely related volumetric parameters are usually estimated separately with gas saturation inferred by compositional complementary law,resulting in a distorted gas to oil ratio under the circumstances of liquid hydrocarbon loss from sample.When applied to liquid-rich shale resource play,this can lead to overall under-estimation of resource volume,distorted gas and oil ratio(GOR),and understated resource heterogeneity in the shale reservoir.This article proposes an integrated mass balance approach for resource calculation in liquid-rich shale plays.The proposed method integrates bulk rock geochemical data with production and reservoir parameters to overcome the problems associated with laboratory characterization of the volumetric parameters by restoring the gaseous and light hydrocarbon loss due to volume expansion and evaporation in the sample.The method is applied to a Duvernay production well(14-16-62-21 W5)in the Western Canada Sedimentary Basin(WCSB)to demonstrate its use in resource evaluation for a liquid-rich play.The results show that(a)by considering the phase behavior of reservoir fluids,the proposed method can be used to infer the quantity of the lost gaseous and light hydrocarbons;(b)by taking into account the lost gaseous and light hydrocarbons,the method generates an unbiased and representative resource potential;and(c)using the corrected oil and gas mass for the analyzed samples,the method produces a GOR estimate close to compositional characteristics of the produced hydrocarbons from initial production in 14-16-62-21 W5 well.

基于Born逆散射理论的反射系数参数化及弱度参数反演方法研究与应用

裂缝预测是非常规油气储层勘探开发的重要环节.地震振幅随入射角和方位变化(Seismic Amplitude Variation with the Angle And Azimuth,即AVOAZ)的反演方法是地下裂缝参数预测的重要手段.然而裂缝型储层的模型参数化,正演方程的构建及反问题的求解依旧存在较大的挑战.所以本文将以均匀各向同性岩石中发育一组垂直定向裂缝(可等效为具有水平对称轴的横向各向同性介质,Horizontal Transversely Isotropic medium,即HTI介质)为研究目标,利用线性滑动模型,推导基于裂缝弱度参数表征的HTI介质刚度矩阵,然后采用Born逆散射理论和稳相法,在界面弱差异假设下,推导HTI介质PP波反射系数方程.为了提高裂缝弱度参数的预测精度,接着提出了方位差异弹性阻抗方程.在此基础上,发展了一套模型低频信息正则化约束的Bayesian反演方法.将该方法应用到裂缝型工区,应用结果表明本文所提出的方法是合理的.

页岩裂缝型储层模型参数化及AVAZ反演预测方法研究

随入射角和方位角振幅变化(AVAZ)反演是地球科学领域从叠前和方位角地震数据中估计弹性参数和各向异性参数的最广泛使用的反演方法之一,有助于预测裂缝.发育一组垂直或近垂直定向裂缝的各向同性均匀岩石储层可以等效为具有水平对称轴的横向各向同性介质(Horizontal Transversely Isotropic medium,即为HTI介质).我们的目标是开发一种适用于页岩储层裂缝预测的稳定反演方法,并充分利用页岩裂缝型储层的宽方位地震数据,提高反演稳定性.首先推导出一个HTI介质三项PP波反射系数近似表达式,该方程减少待求参数的个数,并保持足够的精度来描述HTI介质的反射特性,进而提高反演的鲁棒性.此外,开展了基于贝叶斯理论的AVAZ反演方法,提高反演的稳定性.利用柯西概率分布和高斯概率分布作为模型参数和似然函数的先验信息,提高了反演精度.通过与已有近似方程的精度分析对比,验证了基于新近似方程的反演方法的可行性.在不同噪声条件下,对所提出的反演方法进行了实际工区应用,通过实例验证了该方法在裂缝性储层反演预测中具有较高的鲁棒性和稳定性.