检索结果-南通市图书馆

Exploring the potential of drill cuttings for reservoir characterization:A case study from the Volga-Ural basin,Russia

引用

Petroleum Research 2024年第2期9卷 193-205页

作者： Ibrahem Yousef V.P.Morozov Kazan Federal University Institute of Geology and Petroleum Technologies420008Russian Federation

The research objectives are to assess the possibility of using drill cutting analysis to obtain information about the mineralogical and geochemical properties of the reservoir *** cutting samples were collected from a vertical well that penetrated the Domanik sediments(Semiluksk Formation)in one of the oil fields in the Volga-Ural petroleum *** sections from drill cuttings were examined using an optical polarizing microscope(Axio Imager A2).X-ray diffraction(XRD)analyses were performed using a Brucker D2 Phaser X-ray powder *** properties were studied using an STA 449 F3 Jupiter *** pyrolytic studies were performed using the Rock-Eval *** inspection showed that the studied sediments are alternations of carbonates and siliceous-carbonate *** section examinations revealed that the carbonates are mainly limestone(mudstone and wackestone)and are characterized by a dense texture and up to 30%organic *** siliceous-carbonate rocks are dominated by siliceous mudstones and are characterized by dark colours,layered structure,and an enrichment in organic *** analyses showed that the carbonate rocks are mainly composed of calcite,dolomite,quartz,feldspar,and mica,which are minor *** siliceous-carbonate rocks are dominated by quartz,followed by calcite,although they also contain feldspars,mica,dolomite,and pyrite as *** to the simultaneous thermal analysis,the average total hydrocarbon in the carbonate and siliceous-carbonate rocks is 13.6%(for the core samples)and 11.5%(for the drill cutting samples).The content of heavy hydrocarbons in the rocks is higher than the content of light hydrocarbons,indicating the immature nature of organic *** is found sporadically in siliceous-carbonate *** to the pyrolytic studies,average S1 is 4.4 mg/g and average S2 is 19.8 mg/g(for the core samples);average S1 is 2.1 mg/g and average S2 is 17.8 mg/g(for the

关键词： Drill cuttings reservoir characterization Domanik Semiluksk Volga-Ural Russia

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

A robust deep structured prediction model for petroleum reservoir characterization using pressure transient test data

引用

Petroleum Research 2022年第2期7卷 204-219页

作者： Rakesh Kumar Pandey Anil Kumar Ajay Mandal Department of Petroleum and Energy Studies School of Engineering and TechnologyDIT UniversityDehradun248009India Data Science Research Group School of ComputingDIT UniversityDehradun248009India Department of Petroleum Engineering Indian Institute of Technology(Indian School of Mines)Dhanbad826004India

A robust deep learning model consisting of long short-term memory and fully connected neural net-works has been proposed to automatically interpret homogeneous petroleum reservoirs having infinite,no flow,and constant pressure outer boundary *** pressure change data recorded during the well test operation along with its derivative is input into the model to perform the classification for identifying the reservoir model and,further,regression to estimate output *** noise was added to analytical models while generating the synthetic training *** hyperparameters were regulated to perform model optimization,resulting in a batch size of 64,Adam optimization algorithm,learning rate of 0.01,and 80:10:10 data split ratio as the best choices of *** perfor-mance accuracy also increased with an increase in the number of samples during *** classification and regression metrics have been used to evaluate the performance of the *** paper also demonstrates the prediction performance of the optimized model using simulated and actual oil well pressure drawdown test *** proposed model achieved minimum and maximum relative errors of 0.0019 and 0.0308,respectively,in estimating output for the simulated test cases and relative error of 0.0319 for the real test case.

关键词： Well test reservoir characterization Automatic interpretation Prediction model Hyperparameter tuning Performance indicator

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

3D geocellular modeling for reservoir characterization of lacustrine turbidite reservoirs:Submember 3 of the third member of the Eocene Shahejie Formation,Dongying depression,Eastern China

引用

Petroleum Research 2022年第1期7卷 47-61页

作者： Marco Shaban Lutome Chengyan Lin Dong Chunmei Xianguo Zhang Januarius Matata Bishanga School of Geosciences China University of Petroleum(East China)Qingdao266580China College of Earth Sciences and Engineering University of DodomaDodomaTanzania

3D geocellular modeling is increasingly essential in the petroleum industry;it brings together all petroleum disciplines,and it is commonly used in simulation and production ***,modeling slope and deep-water turbidite reservoirs using conventional modeling methods pose a significant challenge due to the structural complexity and thin-beds associated with these *** the innovative modeling technology of PaleoScan,the reservoirs in Sub member 3 of the third member of the Shahejie Formation are modeled to understand the structural *** resulting model is populated with petrophysical properties i.e.,porosity and permeability to predict their lateral and vertical distribution within these sandstone *** study suggests that the reservoir in the highstand system tract(HST)is characterized by the clinoforms configuration *** reservoir is highly faulted mainly in the northern and southeastern parts of the *** sedimentary layers are deposited across the slope and downlapping,thinning,and terminating toward to the *** two isochore surface maps reveal sediment thickness variation and depositional trends within each individual depositional *** zones or areas that corresponds to low values on the thickness maps suggest minor uplifts associated with intensive faulting in the Eocene *** topographical highs played a fundamental role in distributing the sediments delivered to the basin from distant *** maps reveal that sediments that filled the basin appear to come from different source points,primarily delivered from the north,southeast,and northeast of the basin with varying depositional *** modeled porosity and permeability indicate that the delta fed turbidite reservoirs are characterized by medium to high porosity values of 10e20%and low to medium permeability values of 30-410mD,*** porosity values increase to the southeast and toward the basinwards(west)while perme

关键词： Geomodelling Geocellular modelling Dongying depression Property modelling reservoir characterization Lacustrine turbidites

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Improved reservoir characterization by means of supervised machine learning and model-based seismic impedance inversion in the Penobscot field,Scotian Basin

Energy Geoscience

引用

Energy Geoscience 2024年第2期5卷 183-201页

作者： Satya Narayan Soumyashree Debasis Sahoo Soumitra Kar Sanjit Kumar Pal Subhra Kangsabanik Oil and Natural Gas Corporation(ONGC)Limited DehradunIndia Department of Applied Geophysics IIT(ISM)DhanbadIndia

The present research work attempted to delineate and characterize the reservoir facies from the Dawson Canyon Formation in the Penobscot field,Scotian *** integrated study of instantaneous frequency,P-impedance,volume of clay and neutron-porosity attributes,and structural framework was done to unravel the Late Cretaceous depositional system and reservoir facies distribution patterns within the study *** strikes were found in the EW and NEE-SWW directions indicating the dominant course of tectonic activities during the Late Cretaceous period in the region.P-impedance was estimated using model-based seismic *** properties such as the neutron porosity(NPHI)and volume of clay(VCL)were estimated using the multilayer perceptron neural network with high ***,a combination of low instantaneous frequency(15-30 Hz),moderate to high impedance(7000-9500 gm/cc*m/s),low neutron porosity(27%-40%)and low volume of clay(40%-60%),suggests fair-to-good sandstone development in the Dawson Canyon *** calibration with the welllog data,it is found that further lowering in these attribute responses signifies the clean sandstone facies possibly containing *** present study suggests that the shale lithofacies dominates the Late Cretaceous deposition(Dawson Canyon Formation)in the Penobscot field,Scotian *** faults and overlying shale facies provide structural and stratigraphic seals and act as a suitable hydrocarbon entrapment mechanism in the Dawson Canyon Formation's *** present research advocates the integrated analysis of multi-attributes estimated using different methods to minimize the risk involved in hydrocarbon exploration.

关键词： reservoir characterization Model-based inversion Multilayer perceptron(MLP) Impedance Petrophysical properties Scotian Basin

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Harnessing deep transient testing for reservoir characterization and CO_(2) emission reduction in challenging geological settings

引用

Petroleum Research 2024年第3期9卷 380-392页

作者： Eghbal Motaei Tarek Ganat Khairul Azhar Hamoud Al-Hadrami Petroleum Engineering Department Petronas Carigali SDN BHDP.O.Box 10500088Kuala LumpurMalaysia Petroleum and Chemical Engineering Department Sultan Qaboos UniversityMuscatP.O.Box 50 A-Khod123Oman Vestigo Petroleum Sdn Bhd Menara BinjaiJalan BinjaiJalan Ampang50450Kuala LumpurMalaysia

This paper provides a comprehensive overview of Deep Transient Testing(DTT),a cutting-edge technique for reservoir characterization that has revolutionized the oil and gas *** main aim of DTT is to characterize the reservoir with a deeper radius of *** optimization of the radius of investigation with the DTT approach is studied in *** is a commercial numerical simulation application used to simulate the DTT process and evaluate the pressure wave analysis in the porous *** main aim of the simulation is to understand the impact of the reservoir quality on the pressure response and use it to address the noise-to-pule ratio,which is a determinantal parameter in testing *** tested wells with the DTT tool show that measured well productivity can deliver the minimum commercial *** has been delivered within 2 days compared to the potential test time of 21 days which saved the 19 rig days and contributed to C02 emission reduction of(gas flaring 1340+rig emission 600)1940 Metric tons equivalent to 421 cars emission in a ***,DTT also presents certain limitations,such as the requirement for specialized equipment and expertise,as well as the potential for formation damage during *** study provides a detailed description of the DTT technique,encompassing its history,theory,and practical ***,it discusses the benefits and limitations of DTT and presents case studies to illustrate its effectiveness across various reservoir ***,this study serves as a valuable resource for reservoir engineers,geologists,and other professionals involved in the exploration and production of oil and gas.

关键词： Deep transient testing reservoir characterization Wireline formation testers Drill stem test Radius of investigation

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

reservoir characterization of the Early Cretaceous Sarmord and Garagu Formations from Atrush-1 and Mangesh-1 Wells, Kurdistan Region, Iraq

引用

Open Journal of Geology 2021年第10期11卷 509-524页

作者： Ayad N. F. Edilbi Wrya J. Mamaseni Mahdi Kh. Aswad Bahroz Gh. Abdullah Falah Kh. Al-Jaboury Govand H. Sherwani Nadhir Al-Ansari Department of Petroleum Geosciences Faculty of Science Soran University Soran Kurdistan Region Iraq Geology Department College of Science Salahaddin University Erbil Kurdistan Region Iraq Geology Department College of Science University of Duhok Duhok Kurdistan Region Iraq Department of Petroleum Engineering College of Engineering American University of Kurdistan Sulaimaniya Kurdistan Region Iraq Petroleum Engineering Department Knowledge University Erbil Kurdistan Region Iraq Department of Civil Engineering Cihan University-Erbil Erbil Kurdistan Region Iraq Lulea University of Technology Lulea Sweden

Petrophysical properties of the Early Cretaceous Sarmord and Garagu formations from the Atrush and Sarsang Blocks in the Kurdistan Region are studied. These formations are generally composed of limestones and dolomitic limestones interbedded with thin to medium layers of yellowish-gray marl (calcareous mudstone). The current study shows that the average shale volume in the Sarmord and Garage formations is between 16% and 20%. In Atrush-1 Well, the average porosity ratio of the Sarmord and Garagu formations is fair to good (15% and 11%, respectively). However, in Mangesh-1 Well, the porosity value is poor;it is around 4% on average. Generally, most of the hydrocarbons that have been observed within the pore spaces are residual oil type in Atrush-1 Well and movable hydrocarbon type in Mangesh-1 Well. In Atrush-1 Well, out of 362 m thickness of both formations, only 180 m is considered to be a pay zone;whereas, the pay zone is just around 8.0 m thick out of 347 m of the total thickness. According to the calculated porosity values, the Garagu and Sarmord formations are not considered as good reservoirs in the studied wells, with the exception of Atrush-1 Well where the Sarmord Formation has fair potential reservoir characteristics.

关键词： Sarmord Formation Garagu Formation reservoir characterization Hydrocarbons Saturation Net Pay

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Analytical models & type-curve matching techniques for reservoir characterization using wellbore storage dominated flow regime

引用

Petroleum 2018年第2期4卷 223-239页

作者： Salam Al-Rbeawi METU-Northern Cyprus Campus Cyprus

The applicability of early time data in reservoir characterization is not always considered *** time data is usually controlled by wellbore storage *** effect may last for pseudo-radial flow or even boundary dominated *** this effect is an option for restoring real *** the data with this effect is another option that could be used successfully for reservoir *** paper introduces new techniques for restoring disrupted data by wellbore storage at early time *** proposed techniques are applicable for reservoirs depleted by horizontal wells and hydraulic *** analytical models describe early time data,controlled by wellbore storage effect,have been generated for both horizontal wells and horizontal wells intersecting multiple hydraulic *** relationships of the peak points(humps)with the pressure,pressure derivative and production time have been mathematically formulated in this study for different wellbore storage *** horizontal wells,a complete set of type curves has been included for different wellbore lengths,skin factors and wellbore storage *** complete set of type curves has been established for fractured formations based on the number of hydraulic fractures,spacing between fractures,and wellbore storage *** study has shown that early radial flow for short to moderate horizontal wells is the most affected by wellbore storage while for long horizontal wells;early linear flow is the most affected flow regime by wellbore storage *** study has also emphasized the applicability of early time data for characterizing the formations even though they could be controlled by wellbore storage *** a matter of fact,this paper has found out that wellbore storage dominated flow could have remarkable relationships with the other flow regimes might be developed during the entire production *** relationships can be used to properly de

关键词： reservoir engineering reservoir modeling and simulation Pressure transient analysis reservoir characterization Wellbore storage effect Skin factor reservoir flow regimes Pressure behaviors

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Application of Machine Learning in reservoir characterization of the Tight Sandstone

Application of Machine Learning in Reservoir Characterizatio...

引用

作者： Shiba K C 中国石油大学(北京)

学位级别：硕士

reservoir characterization is the process of accessing the viability of the reservoir with the determination of the physical reservoir parameters ***,permeability,lithology,formation thickness,saturation,*** data types *** data,well-log data,and petrophysical core data are manipulated individually or integrated together to gain a better insight into these reservoir ***,approaches like empirical,and model-driven deterministic methods including soft computing methods like machine learning（ML）have been established to determine these *** learning is a widely accepted and appreciated approach in reservoir *** machine learning algorithms are successfully employed and proven to be better performing than the conventional methods of reservoir parameter *** subpar performance of conventional methods and their time and capital inefficienc y aspires to machine learning usage in reservoir *** this study,reservoir parameters:S-wave velocity,porosity,permeability,and shale percentage are predicted using machine learning regression algorithms:Support vector regression（SVR）,Random Forest（RF）,and Deep neural network（DNN）.S-wave velocity is predicted using well logs and porosity,permeability,and shale are predicted using both well logs and seismic *** study makes use of the data from a tight sandstone reservoir in the Hangjinqi area of the Ordos basin in *** establishes the applicability of ML algorithms for a heterogeneous reservoir with a comparative ML regression model analysis.S-wave velocity is predicted from well log attributes:acoustic（AC）,density（DEN）,and gamma-ray log（GR）with a good performance by all three ***,SVR outperforms the remaining with an accuracy of 0.972 *** model performance is validated with a blind well test as ***,Permeability,and Shale percentage were predicted with inputs P-impedance,S-impedance,V/V ratio,and density.A

关键词： Machine Learning reservoir characterization Neural Networks Support Vector Machines Random Forest Simultaneous Seismic Inversion

来源：

同方学位论文库评论

在线全文

同方学位论文库

学校读者我要写书评

暂无评论

Pore Structure characterization of Clay Minerals in the Lower Karamay Formation Conglomerate reservoir in the Junggar Basin and its Impact on Hydrocarbon Storage and Seepage

引用

Acta Geologica Sinica(English Edition) 2021年第2期95卷 558-569页

作者： Taskyn ABITKAZY DU Shuheng XU Feng SHI Yongmin School of Earth and Space Sciences Peking UniversityBeijing 100871China Research Institute of Petroleum Exploration and Development Co. Ltd.CNPCBeijing 100083China State Key Laboratory of Nonlinear Mechanics Institute of MechanicsChinese Academy of SciencesBeijing 100190China

The micro-nano pore structure of conglomerate in the Lower Karamay Formation of the Xinjiang Oilfield,Junggar Basin,northern China is characterized to predict its impact on fluid reserves and *** clay minerals are mainly kaolinite(67%),followed by an illite/smectite mixed layer(18%),illite(10%),and chlorite(5%).For kaolinite,pore throats between 0–200 nm are dominant,accounting for 90%of the total pore *** illite/smectite mixed layer,pore throats also between 0–200 nm account for nearly 80%,while pore throats between 200-500 nm only account for 15%.For illite,pore throats below 100 nm account for about 80%,while pore throats in the range of 100–500 nm only account for 20%.For chlorite,most throats are below 200 *** pore roundness of illite is the highest,while the pore roundness of chlorite is relatively *** lower limits of the dynamic and static pore throat radii are 42.128 nm and 72.42 nm,*** theoretical contribution rates of the illite/smectite mixed layer,kaolinite,illite and chlorite to storage/seepage are 60%/45.86%,52.72%/38.18%,37.07%/28.78%and 32.97%/26.3%,***,the contribution rates of clay minerals in the study area are as follows:illite/smectite mixed layer,kaolinite,illite and chlorite.

关键词： oil conglomerate clay minerals micro-nano pore reservoir characterization Triassic Xinjiang

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

reservoir stress path and induced seismic anisotropy： results from linking coupled fluid-flow/geomechanical simulation with seismic modelling

引用

Petroleum Science 2016年第4期13卷 669-684页

作者： D.A.Angus Q.J.Fisher J.M.Segura J.P.Verdon J.-M.Kendall M.Dutko A.J.L.Crook School of Earth and Environment University of LeedsLeeds UK Formerly School of Earth and Environment University of Leeds Leeds UK Department of Earth Sciences University of Bristol BristolUK Rockfield Software Ltd. Swansea UK Three Cliffs Geomechanics Swansea UK Repsol Madrid Spain ESG Solutions Kingston Canada

We present a workflow linking coupled fluid-flow and geomechanical simulation with seismic modelling to predict seismic anisotropy induced by non-hydrostatic stress changes. We generate seismic models from coupled simulations to examine the relationship between reservoir geometry, stress path and seismic anisotropy. The results indicate that geometry influences the evolution of stress,which leads to stress-induced seismic anisotropy. Although stress anisotropy is high for the small reservoir, the effect of stress arching and the ability of the side-burden to support the excess load limit the overall change in effective stress and hence seismic anisotropy. For the extensive reservoir, stress anisotropy and induced seismic anisotropy are high. The extensive and elongate reservoirs experience significant compaction, where the inefficiency of the developed stress arching in the side-burden cannot support the excess *** elongate reservoir displays significant stress asymmetry,with seismic anisotropy developing predominantly along the long-edge of the reservoir. We show that the link betweenstress path parameters and seismic anisotropy is complex,where the anisotropic symmetry is controlled not only by model geometry but also the nonlinear rock physics model used. Nevertheless, a workflow has been developed to model seismic anisotropy induced by non-hydrostatic stress changes, allowing field observations of anisotropy to be linked with geomechanical models.

关键词： Coupled fluid-flow/geomechanics reservoir characterization Seismic anisotropy Stress path

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：