Low resistivity oil(gas)-bearing reservoir conductive model Dual water clay matrix conductive model in the north area of Tarim Basin, Xinjiang, China

Shaly sands reservoir is one of the most distributive types of the oil(gas)-bearing reservoirs discovered in China, and low resistivity oil(gas)-bearing reservoirs are mostly shaly sands reservoirs. Therefore, shaly sands reservoir conductive model is the key to evaluate low resistivity oil(gas)-bearing reservoirs using logging information. Some defects were found when we studied the clay distribution type conductive model, dual-water conductive model, conductive rock matrix model, etc. Some models could not distinguish the conductive path and nature of microporosity water and clay water and some models did not consider the clay distribution type and the mount of clay volume. So, we utilize the merits,overcome the defects of the above models, and put forward a new shaly sands conductive model—dual water clay matrix conductive model (DWCMCM) in which dual water is the free water and the microporosity water in shaly sands and the clay matrix(wet clay) is the clay grain containing water. DWCMCM is presented here, the advantages of which can tell the nature and conductive path from different water (microporosity water and free-water), in consideration of the clay distribution type and the mount of clay volume in shaly sands. So, the results of logging interpretation in the oil(gas)-bearing reservoirs in the north of Tarim Basin area, China with DWCMCM are better than those interpreted by the above models.     

Generalized effective medium resistivity model for low resistivity reservoir

With the advancement in oil exploration,producible oil and gas are being found in low resistivity reservoirs,which may otherwise be erroneously thought as water zones from their resistivity.However,the evaluation of low resistivity reservoirs remains difficult from log interpretation.Since low resistivity in hydrocarbon bearing sands can be caused by dispersed clay,laminated shale,conductive matrix grains,microscopic capillary pores and high saline water,a new resistivity model is required for more accurate hydrocarbon saturation prediction for low resistivity formations.Herein,a generalized effective medium resistivity model has been proposed for low resistivity reservoirs,based on experimental measurements on artificial low resistivity shaly sand samples,symmetrical anisotropic effective medium theory for resistivity interpretations,and geneses and conductance mechanisms of low resistivity reservoirs.By analyzing effects of some factors on the proposed model,we show theoretically the model can describe conductance mechanisms of low resistivity reservoirs with five geneses.Also,shale distribution largely affects water saturation predicted by the model.Resistivity index decreases as fraction and conductivity of laminated shale,or fraction of dispersed clay,or conductivity of rock matrix grains increases.Resistivity index decreases as matrix percolation exponent,or percolation rate of capillary bound water increases,and as percolation exponent of capillary bound water,or matrix percolation rate,or free water percolation rate decreases.Rock sample data from low resistivity reservoirs with different geneses and interpretation results for log data show that the proposed model can be applied in low resistivity reservoirs containing high salinity water,dispersed clay,microscopic capillary pores,laminated shale and conductive matrix grains,and thus is considered as a generalized resistivity model for low resistivity reservoir evaluation.     

骨架导电的混合泥质砂岩通用孔隙结合电阻率模型研究

在水介质中顺序添加分散粘土颗粒、油珠、导电骨架颗粒、层状泥质,并对每一种成分进行连续积分,建立了一种适用骨架导电及含有分散粘土和层状泥质的泥质砂岩通用电阻率模型.通过对该模型的影响因素分析,发现泥质分布形式对模型计算的含水饱和度有很大影响;对应两个不同粘土颗粒电阻率或骨架颗粒电阻率的地层电导率之差,几乎与总含水饱和度无关,而对应两个不同层状泥质电阻率的地层电导率之差,随总含水饱和度增大而增大;骨架胶结指数变化对地层电导率与总含水饱和度关系曲线的影响最大,而粘土胶结指数变化对地层电导率与总含水饱和度关系曲线的影响最小;饱和度指数对地层电导率与总含水饱和度关系曲线的影响随总含水饱和度的增大而减小.通过一组骨架导电的人造岩样的试验,表明当地层水电阻率.小于颗粒电阻率时,该模型可以用于不含粘土的骨架导电的岩石.通过两组分散泥质砂岩岩样实验测量数据和一组层状泥质砂岩测井资料及实际测井资料的计算,表明本文给出的电阻率模型既适用于分散泥质砂岩地层解释又适用于层状泥质砂岩地层解释,同时,还适用于含有分散粘土和层状泥质的混合泥质砂岩地层解释.     

不同泥质分布形式泥质砂岩导电规律实验研究

本文利用人工制作的不同含量分散泥质和层状泥质砂岩岩心样品,测量不同矿化度和不同含油饱和度的岩心电阻率,从实验角度研究了不同泥质分布形式和含量的岩心导电规律,结果表明,泥质分布形式或含量不同,则泥质砂岩导电规律不同.基于层状泥质与分散泥质砂岩的并联导电实验规律,以及分散粘土和地层水混合物的导电规律可用HB电阻率方程描述,建立了考虑泥质分布形式影响的泥质砂岩电阻率模型.通过1组不同泥质分布形式泥质砂岩人造岩心实验数据的测试,表明该模型可以描述分散泥质砂岩、层状泥质砂岩和混合泥质砂岩地层的导电规律.分散泥质,层状泥质,人造岩样,实验测量,并联导电,HB方程,电阻率模型     

Conductivity model for pyrite-bearing laminated and dispersed shaly sands based on a differential equation and the generalized Archie equation

The conductance of pyrite-bearing laminated and dispersed shaly sands is not well understood and resistivity models for pyrite-bearing shaly sands are nonexistent. Thus, we first synthesize clean pyrite-matrix samples, and quartz-matrix samples with variable laminated shale, dispersed shale, and pyrite content and then perform petrophysics experiments to assess the effect of pyrite content on the conductivity of pyrite-bearing shaly sands. Second, based on the differences in conductivity and conduction pathways and geometries because of the variable composition of the pyrite-bearing laminated and dispersed shaly sands, we divide the shaly sands into their components, i.e., laminated shale, quartz grains, pyrite grains, hydrocarbon, dispersed shale, microscopic capillary water, and mobile water. A generalized resistivity model is proposed to describe the conductivity of pyrite-bearing laminated and dispersed shaly sands, based on the combined conductivity differential equation and generalized Archie equation. In the generalized resistivity model, the conductivity differential equation is used to describe the conductivity of dispersed inclusions in a host, whereas the generalized Archie equation is used to describe the conductivity of two conducting phases. Moreover, parallel conductance theory is used to describe the conductivity of dispersed shaly sands and laminated shale. Theoretical analysis suggests that the proposed model satisfies the physical constraints and the model and experimental results agree. The resistivity and resistivity index of shaly sands decrease with increasing conductivity and pyrite. Finally, the accuracy of the resistivity model is assessed based on experimental data from 46 synthetic core samples with different oil saturation. The model can describe the conductivity of clean pyrite-matrix samples, and quartz-matrix samples with different volumes of laminated shale, dispersed shale, and pyrite. An accurate saturation model of pyrite-bearing laminated and dispersed shaly sands is thus obtained and the log data interpretation in complex shaly sands can improve with the proposed model.     

基于逾渗模型的泥页岩导电机理模拟

泥页岩储层储集空间以纳米/微米级的微孔隙和微裂缝为主,结构复杂,加之干酪根和黏土矿物含量较高,并含有一定量的黄铁矿等导电矿物,造成储层导电机理异于常规储层,岩电实验I-S_w曲线呈现非线性特征,阿尔奇公式等传统评价模型适用性较差.针对上述问题,根据实际岩心实验资料,结合随机算法建立三维逾渗模型并通过数值模拟和超松弛迭代法进行求解,分析泥页岩储层非阿尔奇性产生原因以及泥页岩储层电性的影响因素及规律.模拟结果显示,岩石孔隙拓扑结构和形状尺寸、矿物组成以及地层水电阻率等因素均对泥页岩储层电阻率产生不同程度的影响,通过改变上述因素的设定值,可以建立储层电阻率与各因素的单相关关系,并据此建立修正模型,实现储层含水饱和度的计算.该模型在四川某页岩气产区取得了较好的效果,具有良好的应用前景,为利用逾渗模型模拟方法解决油田勘探开发中的复杂问题提供了新思路.     

低渗透复杂润湿性储层电阻率实验及导电机理研究

低渗透岩性油气藏发育的黏土膜吸附原油造成了储层亲油,电阻率异常高,高阻油水层、水层的存在给储层流体性质识别带来了很大挑战.为了明确不同润湿性储层的电阻率响应特征以及微观导电机理,本文选取了鄂尔多斯盆地西部三叠系延长组长8段的岩心,模拟了油驱水、老化和水驱油过程,并测量了岩心薄片洗油后的接触角.实验结果表明,洗油后异常高阻岩心已表现为不完全亲水,然而,其测量的胶结指数m与正常电阻率岩心相差很小.油驱水至束缚水时,正常电阻率岩心的电阻增大率I_r与含水饱和度Sw的关系在双对数坐标下基本表现为直线的关系,而异常高阻岩心则表现为明显的凸曲线特征.且老化过程前后,异常高阻岩心的电阻率基本不变.结合对异常高阻岩心不同状态下的核磁共振T_2谱的分析,表明在油驱水过程中,岩石的润湿性已经向亲油方向发生转变,老化过程对润湿性的改变影响很小.水驱油至残余油时,异常高阻岩心的I_r-S_w曲线表现为近似直线特征,反映出水驱油过程中岩石的导电结构并未发生改变.基于实验结果的分析与讨论,明确了一种适用于低渗透复杂润湿性储层的成藏模式及其导电机理,说明了高阻水层主要是亲油润湿性条件下的连续导电路径遭到破坏造成的.     

低电阻率油气层物理参数变化机理研究

研究了淡水环境下富含粘土矿物、细颗粒砂岩低电阻率油气层. 分析了粘土的附加导电性,认为粘土质量百分数高且富含伊利石和蒙脱石的地层中,若地层水质量浓度小于15g/L等效NaCl盐溶液时,粘土的附加导电性是造成油气层电阻率低的首要原因. 同时分析了细颗粒、粘土质量百分数不高的储层,高的毛细管压力使束缚水饱和度很高,同样能形成低电阻率油气层. 储层中粘土质量百分数的多少对储层岩石电性特征(I-Sw曲线形态)有重要影响,可用于指导测井资料解释模型的选择.     

鄂尔多斯盆地中东部长6复杂低渗储层测井评价

开展复杂低渗储层特征、测井响应及其控制因素分析,有助于储层评价与油水层识别.鄂尔多斯盆地中东部长6期沉积具多物源供给、沉积相带频繁变化的特点,来自不同物源的沉积砂体岩石碎屑成分存在明显差异.长7、长6沉积期盆地周边的火山作用,致使一些地区的长6砂体具有相对高放射性特征.长6储层孔隙类型多样,孔隙结构特征复杂多变,再加上地层水系统的变化,致使一些油区长6低电阻率油层与常规油层、高电阻率水层与常规水层共存.研究结果表明,成藏动力与阻力的对比关系决定了在同一砂体中除存在常规油水分布外,还可能存在油水倒置分布.因此,加强钴前预测、钻井过程监督与调整、钻后综合研究、生产实践检验、解释模型与参数调整、老井复查等,有利于识别油水层,整体把握油水分布规律.     

墨西哥湾GC955H井天然气水合物储层声波衰减特征

墨西哥湾GC955H井钻遇两种不同的水合物储层,浅层裂隙充填型水合物和深层砂岩型水合物.浅层水合物充填在细粒泥质沉积物的裂隙中,由电阻率测井计算的饱和度平均值为25%.深层水合物充填在砂岩孔隙中,由电阻率计算的饱和度平均为65%.基于声波全波形数据,本文计算了GC955H井储层的声波衰减大小,结果发现两种水合物层对声波衰减的影响不同.泥岩水合物层中的声波衰减与上覆背景泥岩沉积层基本相当.砂岩水合物层的声波衰减大于0.1,最大0.15,远高于上覆和下伏的背景砂岩层.对声波频率的分析发现,GC955H井泥岩层中水合物对声波频率的影响不大,砂岩水合物层的声波频谱与上下背景砂岩层相比发生变化,主频增大.通过对比两种水合物储层的特征,本文初步定性分析了造成水合物对储层声波传播影响不同的原因,包括岩性、水合物饱和度、水合物赋存方式等;但对此的定量描述需要未来更详尽地讨论和研究水合物的声波衰减机制.     

A physical model for shear-wave velocity prediction1

The clay-sand mixture model of Xu and White is shown to simulate observed relationships between S-wave velocity (or transit time), porosity and clay content. In general, neither S-wave velocity nor S-wave transit time is a linear function of porosity and clay content. For practical purposes, clay content is approximated by shale volume in well-log applications. In principle, the model can predict S-wave velocity from lithology and any pair of P-wave velocity, porosity and shale volume. Although the predictions should be the same if all measurements are error free, comparison of predictions with laboratory and logging measurements show that predictions using P-wave velocity are the most reliable. The robust relationship between S- and P-wave velocities is due to the fact that both are similarly affected by porosity, clay content and lithology. Moreover, errors in the measured P-wave velocity are normally smaller than those in porosity and shale volume, both of which are subject to errors introduced by imperfect models and imperfect parameters when estimated from logs. Because the model evaluates the bulk and shear moduli of the dry rock frame by a combination of Kuster and Toksöz’ theory and differential effective medium theory, using pore aspect ratios to characterize the compliances of the sand and clay components, the relationship between P- and S-wave velocities is explicit and consistent. Consequently the model sidesteps problems and assumptions that arise from the lack of knowledge of these moduli when applying Gassmann's theory to this relationship, making it a very flexible tool for investigating how the v_P-v_s relationship is affected by lithology, porosity, clay content and water saturation. Numerical results from the model are confirmed by laboratory and logging data and demonstrate, for example, how the presence of gas has a more pronounced effect on P-wave velocity in shaly sands than in less compliant cleaner sandstones.     

基于阵列感应与自然电位联合反演地层水电阻率

原状地层水电阻率是重要的储层参数,也是进行精细储层评价的基础.基于泥浆侵入数值模拟与侵入过程中井周岩石物理特征分析,确定了薄膜电位的产生位置,针对储层高、低侵等不同侵入特征,提出了可适用于包括存在"低阻环"等不同侵入特征时储层电阻率分布的"五参数"地层模型,基于几何因子理论与有限元方法,建立了阵列感应与自然电位测井联合反演算法,实现了地层电阻率参数反演,重构了地层径向电阻率剖面,进而精确求取了地层水电阻率.通过对实际资料处理表明:反演算法稳定可靠,"五参数"模型能很好地表征储层电阻率分布形态,重构储层电阻率剖面,确定薄膜电位产生位置;基于阵列感应与自然电位的联合反演,能精确计算原状地层水电阻率,为储层评价与流体性质识别提供依据.     

混合物电导率公式及其在测井解释中的应用

从电场的微分方程出发,得出了混合物电导率的两个公式:1.关于导体和导体形成的混合物的电导率公式;2.关于导体和绝缘体形成的混合物的电导率公式。将这两个公式应用于测井解释,对解释泥质砂岩的双水模型作了有效的改进。     

考虑储层孔隙结构的岩石导电机制研究

经典Archie公式解决了测井数据的定量计算问题,但是,Archie公式只能用于孔隙结构相对简单的储层.面对日益复杂的油气勘探对象,Archie公式的计算精度受到一定的限制.本次研究,应用球管模型方法,针对不同孔隙结构研究了岩石饱和盐水及饱和油气时的导电性质,得到了不同孔隙结构、具有不同流体饱和度时岩石导电性的数值模拟结果. 本次研究的数值模拟结果证明岩石孔隙结构是导致岩电实验数据发散现象的因素之一,对比孔隙结构不同而饱和度相同岩石的导电性质,证明复杂孔隙结构是形成低电阻油层的重要因素.     

Compaction trend versus seismic anisotropy in shaly formations

Shales comprise more than 60% of sedimentary rocks and form natural seals above hydrocarbon reservoirs. Their sealing capacity is also used for storage of nuclear wastes. The world's most important conventional oil and gas reservoirs have their corresponding source rocks in shale. Furthermore, shale oil and shale gas are the most rapidly expanding trends in unconventional oil and gas. Shales are notorious for their strong elastic anisotropy, i.e., so‐called vertical transverse isotropy. This vertical transverse isotropy, characterised by a vertical axis of invariance, is of practical importance as it is required for correct surface seismic data interpretation, seismic to well tie, and amplitude versus offset analysis. A rather classical paradigm makes a clear link between compaction in shales and the alignment of the clay platelets (main constituent of shales). This would imply increasing anisotropy strength with increasing compaction. Our main purpose is to check this prediction on two large databases in shaly formations (more than 800 samples from depths of 0–6 km) by extracting the major trends in the relation between seismic anisotropy and compaction. The statistical analysis of the database shows that the simultaneous increase in density and velocity, a classical compaction signature, is quite weakly correlated with the anisotropy strength. As a consequence, compaction can be excluded as a major cause of seismic anisotropy, at least in shaly formations. Also, the alignment of the clay platelets can explain most of the anisotropy measurements of both databases. Finally, a method for estimating the orientation distribution function of the clay platelets from the measurement of the anisotropy parameters is suggested.     

Biogas charging and dissipating process and its accumulation in the Sebei gasfield,Qaidam Basin,China

The Sebei gasfield is the largest biogas accumulation found in China and many reservoirs and seal rocks superposed on a syndepositional anticline in Quaternary.The biogas charging and dissipating process and its distribution have been a research focus for many years.The authors suggest a diffusing and accumulating model for the biogas,as they find that the shallower the gas producer,the more methane in the biogas,and the lighter stable carbon isotope composition of methane.Based on the diffusing model,diffused biogas is quantitatively estimated for each potential sandy reservoir in the gasfield,and the gas charging quantity for the sandy reservoir is also calculated by the diffused gas quantity plus gas reserve in-place.A ratio of diffusing quantity to charging quantity is postulated to describe biogas accumulating state in a sandy reservoir,if the ratio is less than 0.6,the reservoir forms a good gas-pool and high-production layer in the gasfield,which often occurs in the reservoirs deeper than 900 m;if the ratio is greater than 0.6,a few gas accumulated in the reservoir,which frequently exists in the reservoirs shallower than 900 m.Therefore,a biogas accumulation model is built up as lateral direct charging from gas source for the sands deeper than 900 m and indirect charging from lower gas-bearing sands by diffusion at depth shallower than 900 m.With this charging and diffusion quantitative model,the authors conducted re-evaluation on each wildcat in the central area of the Qaidam Basin,and found many commercial biogas layers.     

Biogas charging and dissipating process and its accumulation in the Sebei gasfield,Qaidam Basin,China

The Sebei gasfield is the largest biogas accumulation found in China and many reservoirs and seal rocks superposed on a syndepositional anticline in Quaternary. The biogas charging and dissipating process and its distribution have been a research focus for many years. The authors suggest a diffusing and accumulating model for the biogas, as they find that the shallower the gas producer, the more methane in the biogas, and the lighter stable carbon isotope composition of methane. Based on the diffusing model, diffused biogas is quantitatively estimated for each potential sandy reservoir in the gasfield, and the gas charging quantity for the sandy reservoir is also calculated by the diffused gas quantity plus gas reserve in-place. A ratio of diffusing quantity to charging quantity is postulated to describe biogas accumulating state in a sandy reservoir, if the ratio is less than 0.6, the reservoir forms a good gas-pool and high-production layer in the gasfield, which often occurs in the reservoirs deeper than 900 m; if the ratio is greater than 0.6, a few gas accumulated in the reservoir, which frequently exists in the reservoirs shallower than 900 m. Therefore, a biogas accumulation model is built up as lateral direct charging from gas source for the sands deeper than 900 m and indirect charging from lower gas-bearing sands by diffusion at depth shallower than 900 m. With this charging and diffusion quantitative model, the authors conducted re-evaluation on each wildcat in the central area of the Qaidam Basin, and found many commercial biogas layers.     

井-地与井间电位技术联合数值模拟研究剩余油分布(英文)

电法测井有很高的分辨率,但是它的探测半径仅限于井孔周围;井-地电位技术虽然可以探测到足够大的范围,但是它的分辨率却受到很大的限制,特别是对于油水分布或者结构复杂的储层。本文试图通过井-地电位技术和井间电位技术的联合来研究地下储层油水分布范围。具体方法是,采用井-地电位技术研究油水分布在在横向上的展布情况,利用井间电位技术研究油水储层在垂向上的分布,然后采用井间电位结果标定井地电位结果,两者结合提高纵向分辨率,从而确定剩余油的三维空间分布。研究中通过研究注水初期数值模拟结果与水淹期数值模拟结果之差,求取剩余油分布范围。有限差分方法数值模拟表明:井-地电位技术与井间电位技术联合方法可以有效地确定剩余油分布。     

Biogas charging and dissipating process and its accumulation in the Sebei gasfield,Qaidam Basin,China

The Sebei gasfield is the largest biogas accumulation found in China and many reservoirs and seal rocks superposed on a syndepositional anticline in Quaternary. The biogas charging and dissipating process and its distribution have been a research focus for many years. The authors suggest a diffusing and accumulating model for the biogas, as they find that the shallower the gas producer, the more methane in the biogas, and the lighter stable carbon isotope composition of methane. Based on the diffusing model, diffused biogas is quantitatively estimated for each potential sandy reservoir in the gasfield, and the gas charging quantity for the sandy reservoir is also calculated by the diffused gas quantity plus gas reserve in-place. A ratio of diffusing quantity to charging quantity is postulated to describe biogas accumulating state in a sandy reservoir, if the ratio is less than 0.6, the reservoir forms a good gas-pool and high-production layer in the gasfield, which often occurs in the reservoirs deeper than 900 m; if the ratio is greater than 0.6, a few gas accumulated in the reservoir, which frequently exists in the reservoirs shallower than 900 m. Therefore, a biogas accumulation model is built up as lateral direct charging from gas source for the sands deeper than 900 m and indirect charging from lower gas-bearing sands by diffusion at depth shallower than 900 m. With this charging and diffusion quantitative model, the authors conducted re-evaluation on each wildcat in the central area of the Qaidam Basin, and found many commercial biogas layers.

     

砂砾岩储层测井评价研究

砂砾岩储层岩性复杂、非均质性强,储层间非渗透性隔层类型多,储层基质孔隙度有时很低,从而使测井资料准确划分有效储层有很大的难度;砂砾岩体储层母岩类型变化大,岩石骨架参数很难确定,电阻率测量受岩石骨架、粘土含量和孔隙结构影响严重,反映储层孔隙流体性质的信息弱,使储层流体性质难以判断,油、气、干层界限的电性特征极不明显.通过核磁共振和井壁微电阻扫描成像测井,可以直观观察到岩石成分和粒径的变化,通过T2谱分布直观显示核磁测量井段的孔径分布,计算出各种类型孔隙度和渗透率参数,为砂砾岩有效划分储层和测井评价提供了可靠的依据.