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Integrated Geostatistical Reservoir Characterization of Turbidite Sandstone Deposits in Chicontepec Basin, Gulf of Mexico

机译:墨西哥湾奇孔特佩克盆地浊积岩砂岩矿床的综合地统计学储层特征

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This paper presents a pixel-based hierarchical geostatisticalmodeling of submarine fan turbidite sandstone deposits inTajin and Agua Fria fields of Chicontepec basin in the Gulf ofMexico. Methods are discussed for identifying and dividingthe stack of heterogeneous siliciclastic sediments in thesefields, using sequence stratigraphy, petrophysical well logcharacteristics, geological facies model and 3D seismic data.An integrated multidisciplinary geostatistical reservoircharacterization is conducted in two main steps. First, a largescalereservoir framework of multiple sequence andsubsequence surfaces is constructed based on the integrationof data sources of geologic well markers, petrophysics, andseismic horizons. Second, high-resolution 3D distributions ofreservoir properties are generated, accounting for inherentinter-relationship among reservoir property data and the threemain data scales of log, sub-sequence layer andsequence interval.At onset, shale volume content in Tajin field and totalporosity in Agua Fria field are modeled. Block kriging, trendmodel, and conditional thickness-weighted Bayesian schemeare presented for the integration of data types and data scales.Facies distributions in Tajin are modeled by indicator krigingconditioned to Vsh content, and hence to seismic. Porositydistributions are by sGsim collocated with Vsh for each faciesgroup, and water saturation distributions are collocated withporosity. Permeability distributions are function of porosity,water saturation, facies and sub-sequences. In Agua Fria,effective porosity and facies are by p-field related methods.Patterns of sand continuity and pay sand connectivity arederived and uncertainty in their prediction is evaluated.
机译:本文提出了一种基于像素的分层地统计 海底扇形浊积砂岩沉积物的数值模拟 墨西哥湾奇孔特佩克盆地的塔金(Tajin)和阿瓜弗里亚(Agua Fria)油田 墨西哥。讨论了识别和划分方法 这些中的非均质硅质碎屑堆积 层,利用层序地层学,岩石物理测井 特征,地质相模型和3D地震数据。 综合多学科地统计学水库 表征分为两个主要步骤。一,大规模 多个层序的储层构架 基于积分构造子序列曲面 地质井标志物,岩石物理学和 地震视界。第二,高分辨率的3D分布 储层属性生成,考虑了固有因素 储层物性数据与三者之间的相互关系 日志,子序列层和 序列间隔。 开始时,塔津油田的页岩量含量及其总量 模拟了阿瓜弗里亚油田的孔隙度。块克里金法,趋势 模型,以及条件厚度加权贝叶斯方案 介绍用于数据类型和数据规模的集成。 塔金的相分布通过指标克里金法建模 取决于Vsh含量,因此具有抗震性。气孔率 分布由sGsim与每个相的Vsh并置 组,水饱和度分布与 孔隙率。渗透率分布是孔隙率的函数, 水饱和度,相和子序列。在阿瓜弗里亚, 有效孔隙率和相是通过与p场有关的方法获得的。 砂连续性和付费砂连通性的模式是 推导并评估其预测中的不确定性。

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