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Multiple-point statistics (MPS) provides a flexible grid-based approach for simulating complex geologic patterns that contain high-order statistical information represented by a conceptual prior geologic model known as a training image (TI). While MPS is quite powerful for describing complex geologic facies connectivity, conditioning the simulation results on flow measurements that have a nonlinear and complex relation with the facies distribution is quite challenging. Here, an adaptive flow-conditioning method is proposed that uses a flow-data feedback mechanism to simulate facies models from a prior TI. The adaptive conditioning is implemented as a stochastic optimization algorithm that involves an initial exploration stage to find the promising regions of the search space, followed by a more focused search of the identified regions in the second stage. To guide the search strategy, a facies probability map that summarizes the common features of the accepted models in previous iterations is constructed to provide conditioning information about facies occurrence in each grid block. The constructed facies probability map is then incorporated as soft data into the single normal equation simulation (snesim) algorithm to generate a new candidate solution for the next iteration. As the optimization iterations progress, the initial facies probability map is gradually updated using the most recently accepted iterate. This conditioning process can be interpreted as a stochastic optimization algorithm with memory where the new models are proposed based on the history of the successful past iterations. The application of this adaptive conditioning approach is extended to the case where multiple training images are proposed as alternative geologic scenarios. The advantages and limitations of the proposed adaptive conditioning scheme are discussed and numerical experiments from fluvial channel formations are used to compare its performance with non-adaptive conditioning techniques. 相似文献
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河流相油气储层的井震结合相控随机建模约束方法 总被引：14，自引：4，他引：10
河流相油气储层的研究传统上多是只依据井点资料,先在井上进行沉积相的划分,而后进行剖面相的分析,最后再结合平面沉积参数等值线图编制平面相图,这样往往会造成"见砂画河,吾跟勘探走"的局面,这种平面相图在井间可能存在着较大的误差。然而,平面相图的正确与否直接影响着储层建模中相控的结果。为此作者提出了一种井震结合进行沉积相图编制的新方法,即"以河找砂,指导勘探行"的思路,并在此基础上进行分层次地相控约束随机建模。同时提出相控建模的三个基本的约束条件,即首先要保证随机建模模型的"相序"符合地质规律;其次要保证建模实现的微相分布统计概率与单井沉积微相数据离散化至三维网格后的统计概率相一致;第三要确保三维数据中每种微相的变差函数特征与定量地质知识库一致。因而,从沉积形成与演化的成因角度来指导沉积储层随机建模过程,应用多参数协同、分层次约束的方法,以河道的平面展布和垂向演化来控制建模的结果,使其更逼近地下地质的真实。 相似文献
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Conditional facies modeling combines geological spatial patterns with different types of observed data, to build earth models for predictions of subsurface resources. Recently, researchers have used generative adversarial networks (GANs) for conditional facies modeling, where an unconditional GAN is first trained to learn the geological patterns using the original GAN’s loss function, then appropriate latent vectors are searched to generate facies models that are consistent with the observed conditioning data. A problem with this approach is that the time-consuming search process needs to be conducted for every new conditioning data. As an alternative, we improve GANs for conditional facies simulation (called GANSim) by introducing an extra condition-based loss function and adjusting the architecture of the generator to take the conditioning data as inputs, based on progressive growing of GANs. The condition-based loss function is defined as the inconsistency between the input conditioning value and the corresponding characteristics exhibited by the output facies model, and forces the generator to learn the ability of being consistent with the input conditioning data, together with the learning of geological patterns. Our input conditioning factors include global features (e.g., the mud facies proportion) alone, local features such as sparse well facies data alone, and joint combination of global features and well facies data. After training, we evaluate both the quality of generated facies models and the conditioning ability of the generators, by manual inspection and quantitative assessment. The trained generators are quite robust in generating high-quality facies models conditioned to various types of input conditioning information.
相似文献5.
A stochastic channel embedded in a background facies is conditioned to data observed at wells. The background facies is a fixed rectangular box. The model parameters consist of geometric parameters that describe the shape, size, and location of the channel, and permeability and porosity in the channel and nonchannel facies. We extend methodology previously developed to condition a stochastic channel to well-test pressure data, and well observations of the channel thickness and the depth of the top of the channel. The main objective of this work is to characterize the reduction in uncertainty in channel model parameters and predicted reservoir performance that can be achieved by conditioning to well-test pressure data at one or more wells. Multiple conditional realizations of the geometric parameters and rock properties are generated to evaluate the uncertainty in model parameters. The ensemble of predictions of reservoir performance generated from the suite of realizations provides a Monte Carlo estimate of the uncertainty in future performance predictions. In addition, we provide some insight on how prior variances, data measurement errors, and sensitivity coefficients interact to determine the reduction in model parameters obtained by conditioning to pressure data and examine the value of active and observation well data in resolving model parameters. 相似文献
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Modeling of Fluvial Reservoirs with Object Models 总被引：16，自引：0，他引：16
An object model for fluvial reservoirs that has been developed from 1985 to present is described. It uses a formal mathematical object model (marked point process) describing the distributions of four facies: channel, crevasse, barrier, and background. Realisations from the model are generated using the Metropolis-Hastings simulation algorithm with simulated annealing conditioning on the volume ratios and well observations. The main challenge has been to find a suitable parameterization of the geology of fluvial reservoirs, and to find and implement the generating function of the channels in the simulation algorithm. The model and simulation algorithm can be conditioned on arbitrary well paths including horizontal wells and paths with partly missing observations, well test data, well contacts, seismic data, and general geological knowledge. 相似文献
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鄂西—湘西地区震旦系灯影期岩相古地理与层控铅锌矿关系初探 总被引：4，自引：0，他引：4
依据研究区震旦系十余条代表性剖面的沉积特征及其横向展布规律,并结合两种相变面和两种穿时性划分出的地层格架,应用等时面优势相成图方法编制了震旦系灯影期岩相古地理图。区内古地理格局具有东高西低、北浅南深（水深）的特点,沉积自南西向北东超覆,层位逐渐抬高、穿时;岩性、厚度、颜色和沉积相类型上的差异是统一沉积背景下沉积物相变、穿时的结果。灯影组以发育大套白云岩为特征,纵向上构成总体向上变浅的沉积相序列,同时反映了缓坡型碳酸盐岩台地的生长发育过程;空间上从北西至南东发育从潮坪、局限台地、浅滩、台地边缘斜坡到台地前缘盆地等沉积。岩相古地理对层控铅锌矿具有明显的控制作用,主要分布于台地边缘浅滩相与局限台地潮下过渡部位。 相似文献
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鸳鸯沟洼陷西斜坡成岩作用定量表征及有利区带预测 总被引：3，自引：0，他引：3
储层实测孔隙度、普通薄片、铸体薄片和扫描电镜的资料表明,辽河坳陷鸳鸯沟洼陷西斜坡新生界储层在纵向上发育三个次生孔隙带。从而在一个普遍低孔渗背景下,形成了孔隙度相对较高的优质储层。优质储层的形成和分布主要受沉积微相和成岩作用的双重影响与控制。它们形成于辫状分流河道、河口坝+席状砂沉积微相,目前处于早成岩阶段B期—中成岩阶段A1亚期,发育溶蚀成岩相。该文通过成岩作用定量表征方法,预测了鸳鸯沟洼陷西斜坡成岩阶段和成岩相的横向展布。通过成岩相图和沉积微相图的叠合,预测了沙三中上亚段优质储层的分布。预测结果表明,优质储层主要发育于斜坡区的中部。 相似文献
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以岩心描述、薄片和古生物鉴定为依据,结合测井相和地震相特征和区域构造-沉积背景,对土库曼斯坦阿姆河盆地卡洛夫—牛津阶沉积相特征进行研究,确定该地层单元属于碳酸盐台地沉积体系,识别出蒸发台地、局限台地、开阔台地、台地边缘礁滩、前缘缓斜坡、盆地等6种沉积相类型。以连井沉积相剖面对比、沉积相平面分布特征和纵向演化分析为基础,进一步揭示出该盆地卡洛夫—牛津阶经历了台地前缘缓斜坡、台地边缘礁滩、开阔台地、局限台地、蒸发台地等交替发育构成多期次海进—海退旋回演化和"开放性宽缓型镶边缓斜坡台地"沉积模式。 相似文献
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Anne Randi Syversveen Ragnar Hauge Jan Inge Tollefsrud Ulf Lægreid Alister MacDonald 《Mathematical Geosciences》2011,43(7):763-781
We present an approach for modeling facies bodies in which a highly constrained stochastic object model is used to integrate
detailed seismic interpretation of the reservoir’s sedimentological architecture directly in a three-dimensional reservoir
model. The approach fills the gap between the use of seismic data in a true deterministic sense, in which the facies body
top and base are resolved and mapped directly, and stochastic methods in which the relationship between seismic attributes
and facies is defined by conditional probabilities. The lateral geometry of the facies bodies is controlled by seismic interpretations
on horizon slices or by direct body extraction, whereas facies body thickness and cross-sectional shape are defined by a mixture
of seismic data, well data, and user defined object shapes. The stochastic terms in the model are used to incorporate local
geometric variability, which is used to increase the geological realism of the facies bodies and allow for correct, flexible
well conditioning. The result is a set of three-dimensional facies bodies that are constrained to the seismic interpretations
and well data. Each body is defined as a parametric object that includes information such as location of the body axis, depositional
direction, axis-to-margin normals, and external body geometry. The parametric information is useful for defining geologically
realistic intrabody petrophysical trends and for controlling connectivity between stacked facies bodies. 相似文献
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渤海湾盆地西部凹陷南段成岩相分析与优质储层预测 总被引：14，自引：0，他引：14
储层实测孔隙度、普通薄片、铸体薄片和扫描电镜的资料表明,渤海湾盆地辽河坳陷西部凹陷南段新生界储层在纵向上发育三个次生孔隙带。从而在一个普遍低孔渗背景下,形成了孔隙度相对较高的优质储层。优质储层的形成和分布主要受沉积微相和成岩作用的影响与控制。他们形成于河口坝、辫状分流河道以及心滩沉积微相,目前处于早成岩阶段B期—中成岩阶段A1亚期,发育溶蚀成岩相。该文通过模拟古地温、镜质组反射率、甾烷异构化率和自生石英含量随时间的变化规律,预测了西部凹陷南段成岩阶段和成岩相的横向展布。通过成岩相图和沉积相图的叠合,预测了沙三中亚段优质储层的分布。预测结果表明,优质储层主要发育于斜坡区的中部。 相似文献
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川西南犍为地区下三叠统嘉陵江组沉积相及其演化特征 总被引：8，自引：0，他引：8
以岩心精细描述、薄片鉴定和测井曲线分析为基础,通过对川西南犍为地区嘉陵江组的岩石类型组合、古生物化石、沉积结构、沉积构造和沉积序列等沉积相标志的详细研究,结合区域沉积背景,认为犍为地区嘉陵江组为半局限海-局限海台地沉积,进一步识别出混积潮坪、潮缘滩、半局限泻湖、局限泻湖和蒸发潮坪等5种沉积亚相类型;在此基础上,通过连井沉积相横剖面对比和重点层段沉积相平面分布特征的研究,揭示出嘉陵江组的沉积相演化规律由下至上从混积潮缘到潮下低能,再到潮上蒸发环境,构成一个完整的海进一海退发展旋回;其中的潮缘滩相颗粒岩和潮坪相云岩可成为有利的油气储集相带。 相似文献
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Zohreh NOWROUZI Asadollah MAHBOUBI Reza MOUSSAVI-HARAMI Mohammad Hossein MAHMUDY GHARAIE Farzin GHAEMI 《《地质学报》英文版》2015,89(4):1276-1295
Two sections from the Silurian deposits in the Central Iran Micro and Turan Plates were measured and sampled. These deposits are mostly composed of submarine volcanic rocks, skeletal and non-skeletal limestone, shale and sandstone that were deposited in low to high energy conditions (from tidal flat to deep open marine). According to gradual deepening trend, wide lateral distribution of facies as well as absence of resedimentation deposits, a depositional model of a homoclinal ramp was proposed for these deposits. Field observations and facies distribution indicate that, two depositional sequences were recognized in both sections. These sections show similarities in facies and depositional sequence during the Early Silurian in the area. Although there are some opinions and evidences that demonstrated Paleo-Tethys rifting phase started at the Late Ordovician-Early Silurian, similarities suggest that the Turan and Iran Plates were not completely detached tectonic block during this time, and that their depositional conditions were affected by global sea level changes and tectonic events. 相似文献
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A standard procedure for conditioning a stochastic channel to well-test pressure data requires the minimization of an objective function. The Levenberg–Marquardt algorithm is a natural choice for minimization, but may suffer from slow convergence or converge to a local minimum which gives an unacceptable match of observed pressure data if a poor initial guess is used. In this work, we present a procedure to generate a good initial guess when the Levenberg–Marquardt algorithm is used to condition a stochastic channel to pressure data and well observations of channel facies, channel thickness, and channel top depth. This technique yields improved computational efficiency when the Levenberg–Marquardt method is used as the optimization procedure for generating realizations of the model by the randomized maximum likelihood method. 相似文献
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柴达木盆地西北缘始新世晚期古隆起与阿尔金断裂的形成 总被引：3，自引：0，他引：3
研究阿尔金断裂的演化是理解青藏高原隆升过程的重要环节.本文以柴达木盆地西北缘的地震剖面、残余厚度图、沉积相图等资料进行沉积、构造的综合研究,揭示了柴达木盆地西北缘在始新世晚期开始抬升,因此导致柴达木盆地西北缘生长地层的发育.这种抬升作用在平面上则表现为与阿尔金断裂呈～30°相交的NWW-SEE走向古隆起,以及与之相关的如冲积扇等边缘沉积相.本文分析认为阿尔金断裂在始新世晚期开始孕育,在深部形成左旋性质的韧性剪切带,在地表则通过形成左阶雁列式褶皱(即古隆起)来调节深部的位移量. 相似文献
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Stochastic simulation of categorical variables using a classification algorithm and simulated annealing 总被引：4，自引：0，他引：4
P. Goovaerts 《Mathematical Geology》1996,28(7):909-921
An important step of reservoir characterization is the stochastic modeling of the geometry of lithofacies which control large-scale heterogeneities of petrophysical properties. Although multiple realizations are necessary to appreciate the uncertainty in the spatial distribution of facies, a common short cut consists of retaining the first realization drawn. This paper presents an alternative to this potentially hazardous selection: (1) a categorical map is generated by allocating a single facies to each grid node according to the local probabilities of occurrence of the facies, and (2) the map then is post-processed using a steepest descent-type algorithm so as to improve reproduction of spatial continuity and transition probabilities between facies. The procedure is illustrated using a synthetic dataset. A waterflood simulation shows that retaining a single realization would yield, in average, larger errors in production forecasts (water cuts and recovered oil) than the single postprocessed facies map. 相似文献
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FRÉDÉRIC AMOUR MARIA MUTTI NICOLAS CHRIST ADRIAN IMMENHAUSER SUSAN M. AGAR GREGORY S. BENSON SARA TOMÁS ROBERT ALWAY LACHEN KABIRI 《Sedimentology》2012,59(4):1158-1189
Each simulation algorithm, including Truncated Gaussian Simulation, Sequential Indicator Simulation and Indicator Kriging is characterized by different operating modes, which variably influence the facies proportion, distribution and association of digital outcrop models, as shown in clastic sediments. A detailed study of carbonate heterogeneity is then crucial to understanding these differences and providing rules for carbonate modelling. Through a continuous exposure of Bajocian carbonate strata, a study window (320 m long, 190 m wide and 30 m thick) was investigated and metre‐scale lithofacies heterogeneity was captured and modelled using closely‐spaced sections. Ten lithofacies, deposited in a shallow‐water carbonate‐dominated ramp, were recognized and their dimensions and associations were documented. Field data, including height sections, were georeferenced and input into the model. Four models were built in the present study. Model A used all sections and Truncated Gaussian Simulation during the stochastic simulation. For the three other models, Model B was generated using Truncated Gaussian Simulation as for Model A, Model C was generated using Sequential Indicator Simulation and Model D was generated using Indicator Kriging. These three additional models were built by removing two out of eight sections from data input. The removal of sections allows direct insights on geological uncertainties at inter‐well spacings by comparing modelled and described sections. Other quantitative and qualitative comparisons were carried out between models to understand the advantages/disadvantages of each algorithm. Model A is used as the base case. Indicator Kriging (Model D) simplifies the facies distribution by assigning continuous geological bodies of the most abundant lithofacies to each zone. Sequential Indicator Simulation (Model C) is confident to conserve facies proportion when geological heterogeneity is complex. The use of trend with Truncated Gaussian Simulation is a powerful tool for modelling well‐defined spatial facies relationships. However, in shallow‐water carbonate, facies can coexist and their association can change through time and space. The present study shows that the scale of modelling (depositional environment or lithofacies) involves specific simulation constraints on shallow‐water carbonate modelling methods. 相似文献