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综合沉积正演与多点地质统计模拟辫状河三角洲: 以塔河T区为例
引用本文:贺婷婷,谈心,段太忠,赵磊,张文彪,乔勇,刘彦锋.综合沉积正演与多点地质统计模拟辫状河三角洲: 以塔河T区为例[J].地质科技通报,2021,40(3):54-66.
作者姓名:贺婷婷  谈心  段太忠  赵磊  张文彪  乔勇  刘彦锋
基金项目:国家科技重大专项2016ZX05033-003-002
摘    要:为有效提高三角洲沉积相模拟的精度,以塔河T区为例,应用地震、岩心及测井资料,通过定量评估可容纳空间、物源供给和沉积搬运之间复杂的关系,建立该地区辫状河三角洲砂体沉积正演模型,并将此转化为多点地质统计模拟的三维训练图像,进行研究区辫状河三角洲多点地质统计模拟。研究表明:辫状河三角洲砂体分布受沉积正演模拟控制参数影响,其中砂质供应体积分数、沉积物流入比例、水流载荷量及洪水期间隔均属于强敏感性参数,对研究区三角洲砂体分布影响较大;砂岩含量沉积正演模型体现了辫状河三角洲退积式沉积过程,符合研究区沉积特征,将其转化为三维训练图像,多点地质统计模拟结果在三维空间具有受训练图像约束的特征,体现了训练图像所反映的相带接触关系,并且与钻井认识一致。所提出的这种新的获取三角洲沉积体三维训练图像的方法,综合了沉积正演模拟与多点地质统计模拟的优势,取得了一定的应用效果,对类似沉积体三维地质建模具有一定的借鉴作用。 

关 键 词:沉积数值模拟    多点地质统计学    训练图像    辫状河三角洲
收稿时间:2020-06-12

Integrated sedimentary forward modeling and multipoint geostatistics in braided river delta simulation: A case from block T of Tahe Oilfield
Abstract:In order to effectively improve the accuracy of delta sedimentary facies simulation, based on integrated analysis of seismic, core and logging data of Tahe Block T to quantitatively evaluate the complex relationship between recommendation, source supply and transportation, multi-condition constraint is used to create the sedimentary forward model of braided delta sandbody as the 3D training image of multipoint geostatistical simulation.The study shows that the sand body distribution in the braided river delta is affected by the control parameters of sedimentary forward modeling, and the percentage of sandstone supply, the ratio of sediment flow, the discharge and the flood interval are all strong sensitivity parameters, which have a great influence on the distribution of delta sand bodies in the study area; The sandstone content model embodies the retrogradation sedimentary process of the braided river delta, and conforms to the sedimentary characteristics of the study area.Then it is converted to 3D training image, and the multipoint simulation result is characterized by the training image constraints in the three-dimensional space, revealing the facies contact relationship reflected by the training image, and consistent with the drilling knowledge.This study proposes a new method for acquiring 3D training images, which combines the advantages of sedimentary forward modeling and multipoint geostatistical simulation, and has achieved certain application effect, which has a certain reference for the similar 3D geological modeling of sediments. 
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