共查询到20条相似文献，搜索用时 15 毫秒
1.
Farouk I. Metwalli John D. Pigott Fatma S. Ramadan Ali A. El-Khadragy Waleed A. Afify 《Environmental Earth Sciences》2018,77(4):143
An integrated petrophysical well log and core data analysis of the Alam El Bueib-3D (AEB-3D) and Alam El Bueib-3E (AEB-3E) reservoirs, Tut oil field, North Western Desert, Egypt, allows the evaluation of those parameters critical to their reservoir characterization. The determined reservoir properties investigated are lithology, depositional paleoenvironments, shale volume, porosity, fluid saturation and net pay thickness. As the analysis of reservoir pressure is essential to specify the driving mechanisms that control the behavior of fluids within reservoirs, pressure analysis identified the Alam El Bueib-3D reservoir to be partial water drive and Alam El Bueib-3E to be an active water drive. In addition, the pressure analysis identified two additional hydrocarbon-bearing reservoirs in the Alam El Bueib-3D. Stacking patterns of the Alam El Bueib-3D reservoirs are generally fining upward sequences reflecting fluvial to braided fluvial paleoenvironments. The Alam El Bueib-3E channel shows blocky patterns with sharp bases and tops diagnostic of distributary channels. Statistical analysis of core permeability and porosity values of the Alam El Bueib reservoirs indicate very good reservoir quality. Scatter diagrams of porosity values derived from core analysis for the AEB-3D and AEB-3E reservoirs reveal correlation coefficient (r) values of 0.93 and 0.64, respectively, indicating strong linear relationships. Plots of porosity values against permeability values also show strong linear relationships in all the reservoirs indicating that the AEB-3D and the AEB-3E are permeable and with strong pore communication. The permeability measurements indicate restricted reservoir heterogeneity as plots of vertical permeability values against horizontal permeability values exhibit linear trends. Altogether, the reservoir characterization of the Alam El Bueib reservoirs demonstrates their excellent potential for hydrocarbon production. 相似文献
2.
准噶尔盆地石南31井区AVO多属性储层及流体预测 总被引：1，自引：1，他引：1
针对石南31井油藏评价过程中存在的问题，首先通过AVO正演证明AVO多属性预测砂体空间展布的可行性，其次优选提取出的AVO属性，对每种属性建立对应的检验标准，采用多数据体、多方法综合标定技术准确标定层位．利用P波数据体以层序地层学的方法原理为指导，建立地层和沉积格架；利用泊松比道积分确定砂体内部物性变化，利用流体检测数据体分析砂体含油气情况，最终综合分析以上3个数据体的结果进行油藏评价．通过以上研究说明在含钙泥岩发育地区，利用AVO多属性储层预测是常规方法的有效补充，而AVO油气检测则存在一定多解性． 相似文献
3.
Miraj Khan Mohammad Arif Nowrad Ali Mohammad Yaseen Ammar Ahmed Syed Mamoon Siyar 《Arabian Journal of Geosciences》2016,9(5):425
The Eocene rock units of the Qadirpur field, Central Indus Basin (Pakistan), are investigated petrophysically for their detailed reservoir characterization. The different petrophysical parameters determined include the following: true resistivity, shale volume, total porosity, effective porosity, density and neutron porosity, water and hydrocarbon saturation, bulk volume of water, lithology, gas effect, P-wave velocity, movable hydrocarbon index and irreducible water saturation and integrated with different cross-plots. The Eocene reservoirs are excellent with high effective porosity (2–32 %) and hydrocarbon saturation (10–93 %). Among these, the Sui Upper Limestone is an overall a poor reservoir; however, it has some hydrocarbon-rich intervals with high effective porosity and better net pay. All the net pay zones identified show low and variable shale volume (5–30 %). The secondary porosity has added to the total and effective porosities in these reservoirs. The main contributors to the porosity are the chalky, intercrystalline and vuggy/fracture types. The thickness of the reservoirs zones ranges from 4.5 to 62 m. These reservoirs are gas-producing carbonates with almost irreducible water saturation (0.002–0.01) and are likely to produce water-free hydrocarbons. The lower values of moveable hydrocarbon index (0.07–0.9) show that the hydrocarbons are moveable spontaneously to the well bore. The proposed correlation model shows that the reservoirs have an inclined geometry and are a part of an anticlinal trap. 相似文献
4.
《地学前缘(英文版)》2019,10(3):1113-1124
Estimation of petrophysical parameters is an important issue of any reservoirs. Porosity, volume of shale and water saturation has been evaluated for reservoirs of Upper Assam basin, located in northeastern India from well log and seismic data. Absolute acoustic impedance (AAI) and relative acoustic impedance (RAI) are generated from model based inversion of 2-D post-stack seismic data. The top of geological formation, sand reservoirs, shale layers and discontinuities at faults are detected in RAI section under the study area. Tipam Sandstone (TS) and Barail Arenaceous Sandstone (BAS) are the main reservoirs, delineated from the logs of available wells and RAI section. Porosity section is obtained using porosity wavelet and porosity reflectivity from post-stack seismic data. Two multilayered feed forward neural network (MLFN) models are created with inputs: AAI, porosity, density and shear impedance and outputs: volume of shale and water saturation with single hidden layer. The estimated average porosity in TS and BAS reservoir varies from 30% to 36% and 18% to 30% respectively. The volume of shale and water saturation ranges from 10% to 30% and 20% to 60% in TS reservoir and 28% to 30% and 23% to 55% in BAS reservoir respectively. 相似文献
5.
《China Geology》2022,5(3):393-401
This study focused on the quantitative analysis of the petrophysical parameters in characterizing the reservoir properties of the Srikail gas field using multi-scale wireline logs. Petrophysical parameters (shale volume, porosity, water saturation and hydrocarbon saturation) were estimated from the combination of gamma ray log, resistivity log, density log and neutron log for three hydrocarbon (gas)-bearing zones at well#3. At the first time, log records at 0.1 m and 0.2 m intervals were read for this study. Result showed the average shale volume is 21.07%, 53.67% and 51.71% for zone-1, zone-2 and zone-3, respectively. For these zones, the estimated average porosity was 35.89%, 29.83% and 28.76%, respectively. The average water saturation of 31.54%, 16.83% and 23.39% and average hydrocarbon saturation of 68.46%, 83.17% and 76.61% were calculated for zone-1, zone-2 and zone-3, respectively. Thus zone-2 is regarded the most productive zone of well#3. It was found that the values of some parameters (porosity, hydrocarbon saturation and permeability) are higher than the existing results. Therefore, this study confirmed that the log reading at minute/close interval provides better quantitive values of the reservoir’s petrophysical properties. It is expected that this result will contribute to the national gas field development program in future.©2022 China Geology Editorial Office. 相似文献
6.
Net to gross (NTG) is an important parameter in evaluating the volumes of hydrocarbon in place (VHIP) in reservoirs, and proper evaluation of this parameter will lead to significant accuracy in the estimated reserves. The use of conventional petrophysical log evaluations often does not provide sufficient resolution for net sand analysis of reservoirs, especially in laminated reservoir rocks. The uncertainties associated with log-derived net-to-gross estimates arise from the petrophysical shale volume (V sh) cutoffs used in deriving the net sand count over a reservoir interval. One way of improving the net-to-gross estimates is by using a model that calibrates log-derived net to gross to a core equivalent, which is the more accurate representation of net sand counts. In this study, a model for calibrating log-derived net to gross to a core equivalent based on genetic units and facies associations of reservoir rocks in three wells (wells 7, 36, and K008) was established. Ultraviolet core photographs show a good contrast between hydrocarbon-stained sandstones and shales, and combining it with white light-slabbed core images facilitated a manual net sand count of the core photographs on a bed-by-bed basis. Petrophysical shale volume (V sh) cutoff derived from two volumes of shale indicators was applied to generate net sand counts, which were used to get log-derived net-to-gross values. Then, the net to gross from core images and petrophysical clay volume (V sh) analysis were compared by facies associations, and this comparison yielded a reliable core-calibrated net-to-gross model, which reduces the uncertainties in net-to-gross values estimated from V sh cutoffs. The results show that for the distributary channel sands, net to gross derived using V sh cutoff results in an underestimation of net to gross by about 6–10 % when compared with the core-calibrated net to gross, while for the upper shoreface units, V sh cutoff overestimates net to gross by about 7–10 % when compared to its core-calibrated equivalent. 相似文献
7.
缝洞型碳酸盐岩储层存在强烈的空间非均质性,储层表征与评价难度极大。塔北隆起西部W区块奥陶系中统顶部发育稳定的台地相碳酸盐岩缝洞型储层。应用古地理坐标转换构造建模技术、测井储层分析方法,并结合缝洞型储层地震属性进行储层相研究,以储层相分析成果为基础建立双孔隙度模型,对缝洞型储层进行定量表征,最后结合AVO流体预测,进行综合评价。研究表明:该区碳酸盐岩储层类型主要为裂缝型、裂缝孔洞型,裂缝既是储集空间又是孔洞形成的诱导因素;本征值裂缝属性和地震波形分类属性对裂缝与孔洞响应较为敏感;储层含油饱和度提高之后,AVO现象更趋明显,叠前AVO反演的流体预测技术能对缝洞型碳酸盐岩储层流体进行合理预测、评价。 相似文献
8.
为了预测鄂尔多斯盆地东缘某勘探区煤系非常规气的资源富集区,采用地震勘探方法在这一新领域进行预测。首先,利用叠后波阻抗反演技术对储层进行岩性预测,通过波阻抗阈值得到样点个数,再与采样率计算出时间厚度,然后乘以岩层速度得到岩层厚度;其次,采用叠前AVO反演技术对储层进行含气性预测,经过分析含气饱和度与AVO相关属性参数之间的关系,得出与有利含气区敏感性最高的属性特征。最后,把储层厚度较厚和呈低拟泊松比属性特征的区域划定为各层含气有利区,并对勘探区下石盒子组八段、山西组和本溪组的砂岩气和页岩气进行了富集区预测,钻井验证效果较好。资源富集区的预测结果表明,地震勘探技术在该区域对煤系非常规气这一新领域的预测是可行的,此方法对其他区域煤系非常规气资源富集区的预测有借鉴意义。 相似文献
9.
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. 相似文献
10.
地震分频AVO方法研究现状与展望 总被引：1，自引：0，他引：1
传统的AVO理论只考虑单界面两边的岩石物理特性,没有考虑地层厚度、其他波场以及油气藏中地震波的能量衰减和速度散射,在实际应用中还存在很多未解决的问题。实际地震波信息常常是地下多个砂泥岩薄互层的综合响应,每个薄层产生的地震反射信号经傅里叶变换后,在频率域都有一个与之相对应的特定频率成分,且这种频率成分在频率域是唯一的。将分频技术与AVO研究密切结合是有效解决薄互层气藏地震AVO识别的有效途径之一。简要介绍了AVO技术及传统AVO技术存在的问题,讨论了地震AVO与地震频率的关系,指出进行分频AVO分析的依据,并进一步讨论了时频分析方法。 相似文献
11.
A multivariate statistical procedure is developed for the estimation of shale volume in clastic sedimentary formations. The method offers an alternative for extracting the shale content from borehole geophysical measurements. Factor analysis of various well-logging data types generates a new well log that correlates with the shale content of shaly-sandy rocks. The mathematical relationship between shale volume and factor scores is represented by a nonlinear equation, which seems to be applicable for data sets originating from different sedimentary basins. A comparative study is made between three different data sets originating from Hungary and the United States of America in order to check the validity of the proposed empirical formula. Shale volumes predicted from factor analysis are confirmed by estimates from independent deterministic and inverse modeling. Petrophysical information derived by factor analysis of logs recorded in deep wells can be used for a more accurate and reliable estimation of effective porosity and absolute permeability of reservoir rocks, for decreasing the estimation error of inversion estimates and for reducing the ambiguity in the solution of the well-logging inverse problem. 相似文献
12.
西部挤压盆地内低渗性含油气砂泥岩储层构造运动期次多、埋藏深度大、泥质夹层多、高角度网状缝继承性发育,裂缝不仅是油气的有效运移通道,也是储层压裂开发效果的主要影响因素。选择西部天山山前某区块深层砂泥岩裂缝性气藏为研究区,以裂缝形成机制的探讨和研究为突破点,在岩心观察、CT层析成像扫描、成像测井解释的基础上,精细统计裂缝产状、开度、充填度,结合流体包裹体及古应力场划分裂缝发育期次,最后总结继承性裂缝的发育模式。研究结果表明,砂泥岩储层裂缝继承性缝的有利发育条件为多期次构造运动、低应力差、低逼近角度、适当泥质含量或低摩擦因数,岩性是内因,构造应力是外因。 相似文献
13.
In the paper, a novel inversion approach is used for the solution of the problem of factor analysis. The float-encoded genetic algorithm as a global optimization method is implemented to extract factor variables using open-hole logging data. The suggested statistical workflow is used to give a reliable estimate for not only the factors but also the related petrophysical properties in hydrocarbon formations. In the first step, the factor loadings and scores are estimated by Jöreskog’s fast approximate method, which are gradually improved by the genetic algorithm. The forward problem is solved to calculate wireline logs directly from the factor scores. In each generation, the observed and calculated well logs are compared to update the factor population. During the genetic algorithm run, the average fitness of factor populations is maximized to give the best fit between the observed and theoretical data. By using the empirical relation between the first factor and formation shaliness, the shale volume is estimated along the borehole. Permeability as a derived quantity also correlates with the first factor, which allows its determination from an independent source. The estimation results agree well with those of independent deterministic modeling and core measurements. Case studies from Hungary and the USA demonstrate the feasibility of the global optimization based factor analysis, which provides a useful tool for improved reservoir characterization. 相似文献
14.
《地学前缘(英文版)》2023,14(4):101567
Evaluating the potential of shale gas reservoirs is inseparable from reservoir properties prediction. Accurate characterization of total organic carbon, porosity and permeability is necessary to understand shale gas reservoirs. Seismic data can help to estimate these parameters in the area crossing-wells. We develop an improved deep learning method to achieve shale gas reservoir properties estimation. The relationship between elastic attributes and reservoir properties is built up by training a deep bidirectional long short-term memory network, which is suitable for time/depth sequence prediction, on the logging and core data. Except some commonly used technologies, such as layer normalization and dropout, we also introduce attention mechanism to further enhance the prediction accuracy. Besides, we propose to carry on the normal scores transform on the input features, which aims to make the relationship between inputs and targets clear and easy to learn. During the training process, we construct quantile loss function, then use Adam algorithm to optimize the network. Not only the characterization results, but also the confidence interval can be output that is meaningful for uncertainty analysis. The well experiment indicates that the method is promising for reducing prediction errors when training samples are insufficient. After analyzing in wells, the established model is acted upon seismic inverted elastic attributes to characterize shale gas reservoirs in the whole studied area. The estimation results coincide well with the actual development results, showing the feasibility of the novel method on the characterization for shale gas reservoirs. 相似文献
15.
页岩油实验测试分析在页岩油地质评价中发挥着重要作用,目前页岩油储层矿物组成、有机质类型、丰度、物性以及岩石脆性等诸多方面的评价参数均需要通过实验测试来获取。本文评述了页岩油储层评价中烃源岩特性、储层储集性、含油性、可动性及可压性等各项实验测试技术研究现状和趋势,重点阐述了各项实验测试技术的目的及方法。页岩油烃源岩特性要综合有机质类型,丰度,成熟度,生物标志化合物,主量、微量和稀土元素等进行全面准确的评价;储集性与页岩矿物组成、孔隙、裂缝等储集空间分布特征密切相关,结合页岩含油饱和度、页岩油黏度、密度等评价页岩含油性和可动性;页岩可压性评价需综合考虑页岩的矿物组成、岩石力学特征参数等因素。同时探讨了页岩油储层地质评价实验测试技术未来发展方向,指出多种方法联合表征页岩油储层储集空间分布特征、不同赋存状态页岩油的分布特征、天然裂缝发育分析等是页岩油储层地质评价技术的关键攻关方向。 相似文献
16.
NING Chuanxiang MA Zhongliang JIANG Zhenxue SU Siyuan LI Tingwei ZHENG Lunju WANG Guozhen LI Fengxun 《《地质学报》英文版》2020,94(2):352-363
To reveal the effect of shale reservoir characteristics on the movability of shale oil and its action mechanism in the lower third member of the Shahejie Formation(Es3l), samples with different features were selected and analyzed using N2 adsorption, high-pressure mercury injection capillary pressure(MICP), nuclear magnetic resonance(NMR), high-speed centrifugation, and displacement image techniques. The results show that shale pore structure characteristics control shale oil movability directly. Movable oil saturation has a positive relationship with pore volume for radius > 2 μm, as larger pores often have higher movable oil saturation, indicating that movable oil is present in relatively larger pores. The main reasons for this are as follows. The relatively smaller pores often have oil-wetting properties because of organic matter, which has an unfavorable effect on the flow of oil, while the relatively larger pores are often wetted by water, which is helpful to shale oil movability. The rich surface provided by the relatively smaller pores is beneficial to the adsorption of immovable oil. Meanwhile, the relatively larger pores create significant pore volume for movable oil. Moreover, the larger pores often have good pore connectivity. Pores and fractures are interconnected to form a complex fracture network, which provides a good permeability channel for shale oil flow. The smaller pores are mostly distributed separately;thus, they are not conducive to the flow of shale oil. The mineral composition and fabric macroscopically affect the movability of shale oil. Calcite plays an active role in shale oil movability by increasing the brittleness of shale and is more likely to form micro-cracks under the same stress background. Clay does not utilize shale oil flow because of its large specific surface area and its block effect. The bedding structure increases the large-scale storage space and improves the connectivity of pores at different scales, which is conducive to the movability of shale oil. 相似文献
17.
页岩气为烃源岩层系的油气聚集,属于源岩滞留气,以游离和吸附状态为主存在。中国页岩气资源调查和勘探开发刚刚起步,工作基础差别较大。在含油气盆地,由于有以往油气勘探开发资料,对含气页岩发育层系、有机质热演化程度、气显示等基本资料,具有一定的工作基础;在含油气盆地外以及油气勘探程度很低的沉积区,以上基础资料缺乏,仅有地表和部分固体矿产探井资料可供参照,工作基础薄弱。在不同工作基础的地区,页岩气地质综合评价所处阶段不同,主要评价指标也不同;随着工作程度的提高,资料的不断丰富,评价指标也逐步增加。页岩气地质评价以区域地质演化分析为基础,主要涉及以下几方面内容：（1）含气页岩评价。主要研究划定含气页岩层段,页岩的TOC、Ro、岩石和矿物成分,页岩分布、厚度、埋深、纵向和横向变化规律等,优选页岩气富集远景区。（2）页岩含气性和资源潜力评价。主要研究页岩的含气量、吸附能力、储集空间类型、储层物性、储层裂缝及其变化规律,预测页岩气资源潜力等。（3）页岩气开发条件和开发经济性评价。研究储层温度、流体压力、流体饱和度及流体性质,研究页岩的敏感性,页岩的岩石力学参数、区域现今应力场特征,地表条件和开发保障条件,通过试验井产量数据分析开发经济条件。综合各方面因素,优选有利开发区。 相似文献
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19.
储层孔隙特征和孔隙结构是影响页岩气赋存与储集的重要因素。为评价海陆过渡相高演化煤系页岩储层性质与页岩气储集性能,应用扫描电子显微镜、高压压汞、低温N2和 CO2气体吸附、微米CT扫描、核磁共振实验方法,对沁水盆地武乡区块上古生界煤系页岩气储层孔隙微观特征和孔隙结构进行了研究。结果表明,沁水盆地武乡区块上古生界煤系页岩样品中发育多种类型微观孔隙,常见粒间孔、粒内孔和微裂缝,有机质孔几乎不发育;武乡区块煤系页岩气储层样品孔隙总孔容分布在0.021 9~0.073 5 mL/g之间,平均值为0.039 9 mL/g,总比表面积主要分布在11.94~46.83 m2/g之间,平均为29.16 m2/g,其中介孔(2~50 nm)和微孔(<2 nm)是煤系页岩气储集的主要载体。煤系页岩中的高配位数孔隙数量越多,相应的孔容和孔比表面积越大,孔隙连通性越好;在孔隙数量和总孔容相差不大的前提下,山西组煤系页岩储层孔隙结构与连通性比太原组煤系页岩稍好。 相似文献
20.
针对富有机质页岩储层复杂的矿物组分与微观孔缝结构,本文提出基于岩石物理模型和改进粒子群算法的页岩储层裂缝属性及各向异性参数反演方法。应用自相容等效介质理论与Chapman多尺度孔隙理论建立裂缝型页岩双孔隙系统岩石物理模型。开发基于岩石物理模型的反演流程,引入模拟退火优化粒子群算法解决多参数同时反演问题,反演算法能够避免陷入局部极值且收敛速度快。将本文方法应用于四川盆地龙马溪组页岩气储层,反演得到的孔隙纵横比、裂缝密度等物性参数和各向异性参数与已有研究结果一致,能为页岩储层的评价提供多元化信息。 相似文献