页岩储层体积压裂缝网形成的主控因素及评价方法

页岩储层的体积压裂能有效沟通天然裂缝使其形成缝网系统,极大地提高了页岩气的产能,让页岩气的开采尽快获得经济效益,因此对体积压裂缝网形成研究显得尤为重要,在对国内外大量页岩储层测试数据和体积压裂缝网形成研究成果全面系统调研和深入分析总结的基础之上,认为页岩储层体积压裂缝网的形成主要受控于3个方面的因素:1储层本身质量好,高的脆性矿物含量、杨氏模量,低的断裂韧度、泊松比、应力衰减速率和储层敏感性等,即储层的可压裂性越高,越易形成缝网;2地质背景条件优越,低的应力各向异性、天然裂缝发育、小的逼近角等,利于压裂裂缝延伸并扩展成缝网;3压裂工程措施适当,包括起裂方位和压力、支撑剂及压裂液性能、施工液量及排量等施工参数设计合理,有利于水力裂缝的充分扩展;另外,对以上控制因素的评价方法主要有室内实验、软件数值模拟及现场监测等,这些认识对体积压裂缝网形成机理研究及压裂优化设计具有重要的理论价值和实践意义。     

页岩储层压裂工艺技术在渝东地区应用

页岩气的工业化开发要求对致密储层进行体积压裂改造,水平井多级分段压裂技术是成功开发页岩气藏的关键技术之一。页岩储层在地应力与致裂压力联合作用下突破页岩基质,沟通天然裂隙等弱结构面,形成高导流能力缝网系统,页岩储层中赋存的游离气和吸附气得以释放,提高了页岩气井的初始产量和最终采收率。根据渝东地区页岩储层工程地质特征,结合渝页A-2HF井、渝页B-2HF井矿场压裂施工数据,探索适用于渝东地区的页岩储层压裂工艺技术,结果表明,采用前置盐酸处理储层保持近井带导流能力,能够保障后续大排量施工压力窗口;低砂比粉砂段塞多级降滤实现“控近扩远”,增加储层改造体积;压力异常层段胶液前置充分造缝,可为后续滑溜水携带支撑剂进入地层创造有利条件。     

页岩气水平井产能预测数值模型综述

页岩气的规模开采已逐步实现高产和稳产,作为替代能源弥补油气能源短缺成为可能。页岩储层致密,微纳米孔发育,具有吸附解吸特征和扩散、滑脱效应。同时天然裂缝、层理等发育,水平井体积压裂后水力裂缝不规则扩展,具有多场耦合跨尺度流动效应。其产能预测困难且不确定性大,制约着页岩储层的高效开发和评价。考虑页岩气多尺度多重输运特征,综述了基于双重介质模型、多重介质模型以及复杂缝网模型的页岩气水平井产能预测数值模型的研究发展现状。认为双重介质和多重介质产能模型均弱化了页岩储层压后开采时复杂缝网系统提供的庞大的可渗流面积和通道,不能综合表征页岩气全尺度多重耦合运输特征。而基于复杂缝网的页岩气水平井产能预测数值模型提供了多尺度流动嵌入的缝网系统,解决流动系统性的同时又精确表征了各尺度流动。产能可靠预测需要获得符合储层地质特征、岩石力学行为、高压流体冲击流固耦合作用机理的复杂缝网形态表征。缝网表征是页岩气水平井产能预测的关键。     

离散裂隙网络对页岩气井产能影响的数值模拟

页岩作为典型的非常规储层,基质孔隙小,渗透率极低,水平井多级水力压裂为其商业开发的主要手段。准确模拟页岩气产能,应同时考虑水力裂隙和天然裂隙的渗流。基于离散裂隙模型和等效连续模型建立页岩气渗流数学模型,利用有限元分析方法进行数值求解,研究不同走向裂隙组对页岩气井产能的影响。研究认为,页岩基质为气体的生产提供了主要气源,天然裂隙作为渗流的主要通道,将气体输送到水力裂缝,进而到达井筒。模拟结果表征,离散裂隙的渗流特征对于页岩气井的产能有重要影响。根据页岩储层的天然裂隙走向,可以优化相应的水平井方位。对于二维离散裂隙网络模型,水平井沿着2个裂隙组夹角的平分线更有利于生产。      

页岩储层体积压裂裂缝扩展机制研究

页岩储层天然裂缝、水平层理发育,水力压裂过程中可能形成复杂的体积裂缝。针对页岩储层体积裂缝扩展问题,基于流-固耦合基本方程和损伤力学原理,建立了页岩储层水力压裂体积裂缝扩展的三维有限元模型。将数值模型的模拟结果与页岩储层裂缝扩展室内试验结果进行对比,二者吻合较好,从而证明了数值模型的可靠性。通过一系列数值模拟发现：（1）水力压裂过程中水平层理可能张开,形成水平缝,水平与垂直缝相互交错,形成复杂的体积裂缝网络;（2）水平主应力差增大,体积裂缝的分布长度（水平最大主应力方向压裂裂缝的展布距离）增加、分布宽度（水平最小主应力方向压裂裂缝的展布距离）减小,体积裂缝的长宽比增加;（3）压裂施工排量增大,体积裂缝的分布长度减小、宽度增加,压裂裂缝的长宽比降低;（4）天然裂缝的残余抗张强度增大,体积裂缝分布宽度减小、分布长度增加,体积裂缝的长宽比增加。研究成果可以为国内的页岩气的压裂设计和施工提供一定的参考和借鉴。     

裂缝参数对考虑滑脱效应页岩气水平井产能的影响

低渗透页岩气藏中,气体渗流时会受滑脱效应的影响。建立了考虑滑脱效应的气、水两相页岩气藏渗流数学模型,并建立了理想地质模型,采用数值模拟方法,研究了水力压裂的不同裂缝参数对水平井产能的影响。模拟结果表明:裂缝条数、长度和间距是影响页岩气井产能的重要参数,而裂缝宽度和渗透率对产能的影响相对较弱;页岩气井的产能随着裂缝条数和裂缝长度的增加而增大;水平井的水平段长度及裂缝条数一定时,可通过增大裂缝间距来减少裂缝间的相互干扰。      

深层页岩气地质工程一体化体积压裂关键技术及应用

针对深层页岩气埋深大、两向水平应力差大、垂向应力差小、岩石塑性特征强等地质特征,以地质工程一体化为设计理念,建立了包括测井曲线、页岩总有机碳含量、孔隙度、全烃、关键录井元素、矿物组分、过量硅、矿物脆性、岩石力学参数等评价方法,开展沿水平井段的地质工程双甜点研究,实现地质与工程一体化优选甜点段和最优甜点段准确识别,为深层页岩气水平井压裂改造提供依据.然后,基于高导流的立体缝网为体积压裂的目标函数,开展深层页岩气窄压力窗口下的体积压裂注入模式及工艺参数优化研究,包括迂回双暂堵工艺优化,支撑剂在复杂缝网下的动态运移规律与导流能力研究,以及一体化变黏度高降阻滑溜水研发等.研究成果在现场的应用结果表明,上述基于地质工程一体化的体积压裂技术,压后测试产量较邻井能提高30%～50%以上,可大幅度提高深层页岩气的经济开发效果,对今后垂深超过4 500 m的超深层页岩气的经济有效勘探与开发,也同样具有重要的指导和借鉴意义.     

基于裂缝性致密储层关键渗流参数的逆向渗吸速度计算

在致密油藏水平井体积压裂开采过程中,压裂液通过缝网与基质接触并发生逆向渗吸作用,由于接触面积很大渗吸作用不可忽视;但目前关于表征致密储层的渗吸作用,从而研究渗吸对水平井体积压裂生产过程影响的研究尚未深入.为了解决以上问题,首先利用毛管束模型,通过考虑致密储层中边界层的特征,建立了解析的渗流参数计算表达式,用以计算致密储层的渗透率、毛管力、相渗曲线这3个关键渗流参数;同时,基于以上关键渗流参数和渗吸控制方程建立了适用于致密储层的渗吸速度计算模型;然后,将渗吸项作为源汇项加入到考虑缝网的双孔单渗模型中.最后,在真实水平井体积压裂开采过程中,耦合渗吸作用.研究表明,相比于不考虑边界层特征的致密油藏,边界层的存在将大幅度减弱储层的渗吸能力,同时也说明了在致密储层中,边界层的存在是不可忽视的,如果在渗吸计算中忽视致密储层的边界层特征会严重高估渗吸对致密储层产能的影响.      

页岩水平井多段分簇压裂起裂压力数值模拟

页岩储层孔隙度和渗透率极低,天然裂缝和水平层理发育,常规压裂增产措施无法满足页岩气的开发要求,水平井多段分簇压裂是页岩气开发的关键技术之一,该技术能够大幅度提升压裂改造的体积、产气量和最终采收率。为确定页岩储层水平井多段分簇射孔压裂的起裂点和起裂压力,采用有限元方法建立了水平井套管完井（考虑水泥环和套管的存在）多段分簇射孔的全三维起裂模型。数值模型的起裂压力与室内试验结果吻合较好,证明了数值模型的准确性和可靠性。利用数值模型研究了页岩水平井多段分簇射孔压裂的起裂点和起裂压力的影响因素,研究发现：射孔孔眼附近无天然裂缝或水平层理影响,起裂点发生在射孔簇孔眼的根部;射孔簇间距越小,中间射孔簇的干扰越大,可能造成中间的射孔簇无法起裂;射孔密度和孔眼长度增大,起裂压力降低;天然裂缝的存在,在某些情况能够降低起裂压力且改变起裂位置,主要与天然裂缝的分布方位及水平主应力差有关;水平层理可能会降低起裂压力,但与垂向主应力与水平最小主应力的差值有关。获得的起裂压力变化规律,可作为进一步研究水平井多段分簇射孔条件下的裂缝扩展规律的基础,可以为压裂设计和施工的射孔参数确定及优化给出具体建议。     

延川南地区深部煤层气U型水平井压裂参数优化设计

鄂尔多斯盆地东缘煤层气田具有高储低渗的特点,为提高深部煤层气单井产量,基于区域构造特征、煤层厚度、含气量及水文地质特征,从优化U型水平井压裂参数的角度,对水平井及其压裂参数进行设计。通过数值模拟对影响水平井产量的水平段长度、压裂缝等主要因素进行研究。结果表明:不考虑摩阻情况下,煤层气产量随水平段长度增加而增加,当水平段超过800m后,由于阻力作用,水平段长度每增加100m,产气量降低10%;压裂缝条数和半缝长对产气量影响较大,最佳的压裂缝条数为4~5条,最佳半缝长为80~120m;裂缝间距和裂缝渗透率对煤层气产量影响不大。依据数值模拟的最优参数对该区煤层气井S1进行压裂,在相同条件下,煤层气产量比未压裂的S2井提高了10倍以上。      

Cluster spacing optimization of multi-stage fracturing in horizontal shale gas wells based on stimulated reservoir volume evaluation

The multi-stage fracturing in horizontal well is a common technique for shale gas reservoir exploitation, in which cluster spacing governs the fracturing performance. Undersized cluster spacing might make the stimulated reservoir volume (SRV), activated by the respective hydraulic fracture, excessively overlap with each other, while oversized cluster spacing might leave a large unstimulated volume between neighboring hydraulic fractures; in either case, fracturing would be inefficient. Previous design of cluster spacing has failed to maximize the SRV due to the absence of a dynamic SRV evaluation model. A numerical model of SRV evaluation in shale reservoir was established by integrating four main modules, including fracture propagation, reservoir pressure distribution, formation stress distribution, and natural fracture failure criterion. Then, a method to optimize cluster spacing was developed with the goal of maximizing SRV. In order to validate this method, it was applied in Fuling shale gas reservoir in Southwest China to determine the optimal cluster spacing. The sensitivity of key parameters on the optimal cluster spacing has been analyzed. This research proposed a compelling cluster spacing optimization method, which could reduce the uncertainty in cluster spacing design, and provides some new insights on the optimal design of multi-stage fracturing in horizontal shale gas well.     

Prediction and analysis of the stimulated reservoir volume for shale gas reservoirs based on rock failure mechanism

The ultra-low-permeability shale gas reservoir has a lot of well-developed natural fractures. It has been proven that hydraulic fracture growth pattern is usually a complex network fracture rather than conventional single planar fractures by micro-seismic monitoring, which can be explained as the shear and tensile failure of natural fractures or creation of new cracks due to the increase in reservoir pore pressure caused by fluid injection during the process of hydraulic fracturing. In order to simulate the network fracture growth, a mathematical model was established based on full tensor permeability, continuum method and fluid mass conservation equation. Firstly, the governing equation of fluid diffusivity based on permeability tensor was solved to obtain the reservoir pressure distribution. Then Mohr–Coulomb shear failure criterion and tensile failure criterion were used to decide whether the rock failed or not in any block on the basis of the calculated reservoir pressure. The grid-block permeability was modified according to the change of fracture aperture once any type of rock failure criterion was met within a grid block. Finally, the stimulated reservoir volume (SRV) zone was represented by an enhancement permeability zone. After calibrating the numerical solution of the model with the field micro-seismic information, a sensitivity study was performed to analyze the effects of some factors including initial reservoir pressure, injection fluid volume, natural fracture azimuth angle and horizontal stress difference on the SRV (shape, size, bandwidth and length). The results show that the SRV size increases with the increasing initial pore reservoir and injection fluid volume, but decreases with the increase in the horizontal principal stress difference and natural fracture azimuth angle. The SRV shape is always similar for different initial pore reservoir and injection fluid volume. The SRV is observed to become shorter in length and wider in bandwidth with the decrease in natural fracture azimuth angle and horizontal principal stress difference.     

页岩气藏体积压裂有效改造体积计算方法

页岩气藏矿场压裂实践表明,储层有效改造体积（effective stimulated reservoir volume,简称ESRV）是影响页岩气藏体积压裂水平井生产效果的关键因素,ESRV的准确计算对页岩气藏压裂方案评价与体积压裂水平井产量预测具有重要作用.基于页岩储层改造体积（stimulated reservoir volume,简称SRV）多尺度介质气体运移机制,建立了SRV区域正交离散裂缝耦合双重介质基质团块来表征单元体渗流模型（representation elementary volume,简称REV）,并结合北美页岩储层实例研究了次生裂缝间距、宽度等缝网参数对页岩气藏气体运移规律的影响.在此基础上根据SRV区域次生裂缝分布特征,采用分形质量维数定量表征裂缝间距分布规律,结合页岩气藏次生裂缝间距对基质团块内流体动用程度的影响规律,得到了页岩气藏体积压裂ESRV计算方法.结果表明SRV区域次生裂缝间距对基质团块内吸附及自由气影响较大,次生裂缝间距小于0.20 m时可以实现SRV区域基质团块内流体向各方向裂缝的"最短距离"渗流.选取北美典型页岩储层生产井体积压裂数据进行ESRV计算,页岩气藏目标井ESRV占体积压裂SRV的37.78%.因此ESRV受改造区域次裂缝分布规律及SRV有效裂缝间距界限的影响,是储层固有性质及人工压裂因素综合作用的结果.      

Summary of Numerical Models for Predicting Productivity of Shale Gas Horizontal Wells

Shale gas production has gradually achieved high and stable output, which makes it possible to make up for the shortage of oil and gas energy as an alternative energy source. Shale reservoir is compact, with well-developed nano-pore, and has the characteristics of adsorption and desorption, diffusion and slippage. At the same time, there are a large number of natural cracks, bedding and foliation. Hydraulic fractures expand irregularly after volume fracturing in horizontal wells. The whole system has multi-field coupling and cross-scale flow effects. Productivity prediction of shale gas is difficult and uncertain, which restricts the efficient development and evaluation of shale reservoirs. In this paper, the development status of productivity numerical models for shale gas horizontal wells is reviewed in consideration of the multi-scale transport characteristics of shale gas. These models include dual media capacity models, multiple media capacity models, and complex seam productivity models. It is considered that the dual medium and multi-media productivity models weaken the large permeable flow area and channel provided by the complex seam network system after shale reservoir lamination, and cannot comprehensively characterize the full-scale coupled transport characteristics of shale gas. The numerical model for productivity prediction of shale gas horizontal wells based on complex fracture network provides a multi-scale flow embedded fracture network system, which solves the problem of systematic flow without losing the ability to accurately characterize each scale flow. It is necessary to obtain the complex fracture network morphological characterization which conforms to reservoir geological characteristics, rock mechanical behavior and fluid-solid coupling mechanism. Fracture network characterization is the key to the productivity prediction of shale gas horizontal wells.     

评价页岩压裂形成缝网能力的新方法

页岩储层的“体积压裂”,使美国页岩气产业取得巨大成功,有效评价压裂裂缝网络形成的难易程度,是压裂开采的首要目标,目前国内外尚未发现有效的评价方法,为此开发了一种新的测试方法。针对10种岩芯,测试岩石力学参数,并对比分析常用的3种页岩脆性评价方法。采用压后裂隙结构面迹长分布的分维值和面密度对裂缝进行定量表征,并对压后崩落碎块进行对比分析。通过实验认为,杨氏模量和泊松比判别法与塑性系数判别法用于评价岩石脆性,精确度更高;脆性岩石通常表现为高杨氏模量或（和）低泊松比的特征,与单轴抗压强度、抗张强度和压入硬度没有对应关系;压裂裂缝的分布具有统计意义上的分形特征,分维可用于定量评价压后裂缝网络复杂度;硬度越高,压后裂缝密度越小;脆性越强,压后裂缝密度越大。新方法是岩石脆性、硬度和天然裂缝系统（和沉积层理）特征的综合体现,用于评价页岩压后形成缝网的能力,不仅直观可靠,而且简单有效,有利于现场推广应用,对于今后页岩气或致密砂岩气开发的理论研究和现场应用具有一定的指导意义。     

Optimization and Evaluation of Multiple Hydraulically Fractured Parameters in Random Naturally Fractured Model Blocks: An Experimental Investigation

Researchers have recently realized that the non-tectonic natural fractures are developed in shale formations and significant for the exploitation of shale gas. Studies have shown that the tectonic fractures in naturally fractured reservoirs have influences on the maximization of stimulated reservoir volume (SRV) during hydraulic fracturing. However, the effect of the non-tectonic randomly natural fractures on the fracturing network propagation is not well understood. Laboratory experiments are proposed to study the evolution of fracturing network in naturally fractured formations with specimens that contain non-tectonic random fractures. The influences of the dominating factors were studied and analyzed, with an emphasis on natural fracture density, stress ratio, and injection rate. The response surface methodology was employed to perform the multiple-factor analysis and optimization in the maximization of the SRV. A sensitivity study reveals a number of interesting observations resulting from these parameters on the fracturing network evaluation. It is suggested from the geometry morphology of fracturing network that high natural fracture density and injection rate tend to maximize the fracturing network. The influence of stress contrast on fracturing network is nonlinear; an optimal value exists resulting in the best hydraulic fracturing effectiveness.     

页岩气开发新井型

中国缺水少地,人口众多,地形复杂,页岩气储层埋藏深、维度高、渗透率低、可改造性差。美国页岩气勘探开发常规技术---水平井加多段压裂在中国有一定的局限性,为此,提出了一种新的页岩气开发井型。它不同于传统的直井、斜井或水平井,由主井及其周围的辅助洞穴构成,其中主井用于生产排采,洞穴用于储层改造。主井完井方式为直井或斜井,辅助洞穴完井方式为分支定向井或丛式井或为两者的组合。储层改造采用低成本高效的聚能爆破等技术来代替高费用的水力压裂,采用多点建造洞穴代替多段压裂和同步压裂,以保持储层裂缝系统的连续性和有效性,进而扩大有效排采面积,降低井网密度。为模拟改造效果,在坚硬的混凝土路面进行了实验,结果表明,建造多个洞穴并震动,可以产生相互连通的裂隙,能够达到整体改善储层渗透性能的效果。     

Production rate analysis of multiple-fractured horizontal wells in shale gas reservoirs by a trilinear flow model

Most multiple-fractured horizontal wells experience long-term linear flow due to the ultralow permeability of shale gas reservoirs. Considering the existence of natural fractures caused by compression and shear stresses during the process of tectonic movement or the expansion of high-pressure gas, a shale gas reservoir can be more appropriately described by dual-porosity medium. Based on the assumption of slab dual-porosity, this paper uses the trilinear flow model to simulate the transient production behavior of multiple-fractured horizontal wells in shale gas reservoirs, which takes the desorption of adsorbed gas, Knudsen diffusion and gas slippage flow in the shale matrix into consideration. Production decline curves are plotted with the Stehfest numerical inversion algorithm, and sensitivity analysis is done to identify the most influential reservoir and hydraulic fracture parameters. It was found that the density and permeability of the natural fracture network are the most important parameters affecting the production dynamics of multiple-fractured horizontal wells in shale gas reservoirs. The higher the density and permeability of the natural fractures are, the shorter the time is required to exploit the same amount of reserve, which means a faster investment payoff period. The analytical model presented in this paper can provide some insight into the reserve evaluation and production prediction for shale gas reservoirs.