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Journal of Petroleum Science & Engineering
Elsevier Science B.V.
Journal of Petroleum Science & Engineering

Elsevier Science B.V.

0920-4105

Journal of Petroleum Science & Engineering/Journal Journal of Petroleum Science & Engineering
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    Modification method of seepage parameters for rough fractures hased on digital image technique

    Lei GanGuanyun ChenZhenzhong Shen
    10页
    查看更多>>摘要：The roughness of concrete lining is one of the essential parameters to evaluate the flow capacity of water conveyance structures such as concrete channels, tunnels, and aqueducts. In this paper, we develop an innovative method to calculate the roughness of a concave-shaped rough surface of concrete and to modify its effects on the seepage characteristics of a rough fracture. We also present the functional relationship between the surface roughness and pixel characteristic parameters of rough surfaces and investigate the effect of the roughness of a fracture surface on the flow capacity through a fracture. The results indicate that the unit discharge of a fracture is positively correlated with fracture aperture and roughness of the rough fracture surface. The relationship between the correction coefficient of the cubic law and relative roughness is represented by a quadratic polynomial. The calculated correction coefficients based on the modified formula match well with the experimental results. The mean absolute error (MAE), root mean square error (RMSE), and coefficient of determination (R 2) of the corrected calculated and test values are 3.35%, 0.0572, and 0.955, respectively. The proposed roughness characterization method and modified cubic law can thus effectively describe the seepage characteristics of concrete rough fracture.
      原文链接:
    • NSTL

    Oil secondary migration simulation in tight reservoir and fingering factors analysis

    Faqiang ZhaTing KorJing Kor
    12页
    查看更多>>摘要：In the tight reservoirs, the oil accumulation is characterized by ambiguous trap boundaries, complicated oil distribution and nano-scale pore-throat interconnection system. As one of significant process for understanding the oil trap in the tight reservoir, oil migration from source rocks to reservoirs is the key concern by geoscientist. Investigating the immiscible two-phase fluids displacement in porous media, especially the fingering problem during the hydrocarbon migration, has always been a challenge scientific topic. This study establishes PNMs (Pore Network Model) with multiple viable parameters. A fluid migration numerical program is built for the flow study by modifying Poiseuille equation. Sensitive studies have been conducted by several dimensionless numbers to investigate the control factors of the flow behavior. Five factors are identified as the key factors on the migration mode;; 1) Fluid viscosity ratio;; 2) Interface tension force; 3) Fluid density; 4) Pore structure of sediments;; 5) Capillary number. Oil migration behavior is affected by pressure domain, buoyancy, and resistance forces, such as capillary resistance and viscous forces. As the distribution fractal dimension increases with a given viscosity ratio, the width of the front edge of oil-water interface gradually expands. Oil saturation increases in parallel with a rising capillary number. During the simulation, Haines Jump phenomenon is observed. When the capillary number increases, oil migration gravitates towards piston-like displacement. As the oil-water viscosity ratio increases, the front width reaches its maximum at a particular point in time, and plateaus.
      原文链接:
    • NSTL

    Automatic seismic image segmentation by introducing a novel strategy in histogram of oriented gradients

    Esmail Hosseini-FardArnin Roshandel-KahooMehrdad Soleimani-Monfared
    14页
    查看更多>>摘要：Automatic seismic image segmentation and further geological interpretation, requires accurate detection of the target's boundary through applying image analysis techniques. Various types of image segmentation and analysis methods are available for this purpose, using the texture attributes, the machine learning methods or the computer vision tools. The histogram of oriented gradients (HOG) as an advanced image analysis tool is frequently used in the pattern recognition investigations. Here a novel strategy in the extraction of the texture attributes based on using the concept of the HOG is introduced for automatic seismic image segmentation and properties extraction. The proposed strategy consists of extracting the HOG features, deriving statistical parameters related to the texture attributes and separating the target by integrating the selected images. To increase efficiency of the proposed strategy, a new parameter as the hybrid texture attribute is also introduced. The proposed method is applied on two geometrically simple and complex synthetic models and two field seismic data examples, containing saltbody and mud diapirs. The saltbody in the first selected field data example demonstrate a chaotic pattern with the unsharp boundary. The mud diapirs in the second field data example illustrate the mild chaotic pattern with interdigitated boundary and thin marginal flows. The result of applying the presented strategy on the both seismic images, compared to the result of the conventional interpretation methods, texture of attributes (TOG) and other textural attributes, revealed that it can be considered as an alternative for conventional image interpretation. However, it should be noted that at this stage, the presented method can be used for separating geological objects with any shape, different seismic patterns and sufficient contrast with surrounding media. However, it is not yet developed for fault detection and horizon auto tracking.
      原文链接:
    • NSTL

    A MPS-based novel method of reconstructing 3D reservoir models from 2D images using seismic constraints

    Lixin WangYanshu YinChangmin Zhang
    10页
    查看更多>>摘要：While multi-point geostatistics (MPS) be used to model complex underground reservoirs, this method relies heavily on high-quality three-dimensional (3D) training images that may be difficult to acquire in real field studies. Furthermore, the original MPS technique does not include seismic data, which may noticeably improve underground reservoir predictions. Our proposed model, Se3DRCS, is a novel method to reconstruct 3D geological models from two-dimensional (2D) images and seismic information. In Se3DRCS, we are able to perform MPS-based modeling using 2D training images, rather than 3D images. These 2D images are produced by analyzing well profiles and sedimentary facies planes. After using the Se3DRCS method to obtain an initial geological model, we then generate elastic parameters and synthetic seismograms via direct sampling and convolution with the extracted seismic wavelets, respectively. By comparing the observed and synthetic seismic records, we refine the simulation results using the adaptive sampling method. The initial geological model is then updated with conditional data after each subsequent simulation iteration. When the error between the observed and synthetic seismograms falls below a reasonable threshold value, we have arrived at the best-fitting geological model. Our results indicate that the Se3DRCS method is capable of predicting the data elicited from wells with an accuracy of up to 82.88%, providing constraints on the distribution of branch channels in a delta reservoir, and reproducing local complex non-stationary geological features.
      原文链接:
    • NSTL

    Application of ultrasonic treatment for demulsification of stable water-in-oil emulsions

    Yuliya N. RomanovaTatyana A. MaryutinaNatalya S. Musina
    10页
    查看更多>>摘要：In this work, the prospects of using ultrasonic treatment together with a nanosized additive for destruction of stable water-in-oil emulsions of the W/O type of various compositions and properties, with 30-45 μm average diameter droplets, including those containing "gel", are shown. The influence of such sonication parameters as power and exposure time on the separation efficiency of emulsion in batch mode has been studied. The research was carried out on ultrasonic devices of a submerged and a reactor type. It is shown that destruction above 99% of all the studied emulsions is achieved by using ultrasonic treatment with 1.0 kW power together with the addition of nanopowder AlN suspension in acetone. The exposure time comprised 0.5-3 min, the amount of the additive was equal to 4-8 %vol (depending on the composition and properties of the emulsion). The developed method of demulsification allows to obtain the oil phase with maximum water content of 0.5 wt% and the aqueous phase with maximum oil content of 46 mg L~(-1) . Application of this approach leads to a significant decrease of oily waste formation.
      原文链接:
    • NSTL

    Study on dynamic interfacial tension behaviors in surfactant selection for improving oil production

    Limin XuMing HanDongqing Cao
    9页
    查看更多>>摘要：The selection of appropriate surfactants for improving oil production in chemical flooding relies considerably on the values of the interfacial tension (IFT) between surfactant solution and crude oil. This paper presents a study on the impact of the dynamic IFT on emulsifying capacity and oil production improvement. The dynamic IFT behaviors of anionic, nonionic, cationic and zwitterionic surfactants were measured against a light crude oil using a spinning drop tensiometer, and classified into two categories. A pair of surfactants with a similar equilibrium IFT value but different initial values were selected for comparative studies. The emulsification results suggest that the instantaneous emulsification, a key mechanism for oil mobilization, is mainly attributed to a quick initial IFT reduction, affecting oil productions. The results of micromodel tests using surfactants and coreflooding oil displacement experiments using surfactant-polymer mixtures indicate that the system has low initial IFT value achieves significantly higher incremental oil production than the system that has high initial IFT value. This suggests the surfactants that are able to reach quick initial IFT reduction are preferential for improving oil production applications.
      原文链接:
    • NSTL

    Decarbonizing the energy and industry sectors in Thailand by carbon capture and storage

    Kai ZhangHarsha Kumar BokkaHon Chung Lau
    16页
    查看更多>>摘要：In this paper, we evaluate decarbonization opportunities for the power and industry sectors in Thailand by carbon capture and storage (CCS). Stationary CO2 sources from the power sector include coal-fired, natural gas-fired and waste-to-energy power plants. Stationary CO2 sources from the industry sector include cement factories, refineries, iron and steel mills, petrochemical plants, and natural gas processing plants. Potential sites for subsurface CO2 storage include oil fields, gas fields and saline aquifers in four offshore sedimentary basins (Songkhla, Pattani, Chumpon, Malay) and six onshore sedimentary basins (Fang, Phetchabun, Phitsanulok, Suphan Buri, Kamphaeng Saen, and Khorat). Data used in this study come from an extensive review of peer-reviewed journals, conference proceedings, and published reports. Results show that stationary CO2 emission from the two sectors is 143 Mtpa consisting of 79 Mtpa from power plants and 64 Mtpa from industrial plants. The biggest CO2 emission in the power sector comes from natural gas-fired power plants whereas that from the industry sector comes from cement factories. There is a total of 79 Gt of subsurface CO2 storage capacity (mid case scenario) in Thailand, which is enough to store 554 years of CO2 emission from stationary sources. Of this, 77.6 Gt (98%) comes from saline aquifers, 1.7 Gt (2%) from gas reservoirs, and only 0.05 Gt (<1%) from oil reservoirs. Therefore, saline aquifers are the most important sites for subsurface CO2 storage. We propose using CCS clusters to reduce the overall project cost by using economies of scale. In a CCS cluster, multiple CO2 sources are mapped to a common CO2 sink by sharing the same CO2 capture, transport, and injection network. A CO2 source-sink mapping exercise results in the identification of six CCS clusters. For Cluster I, we propose a CCS demonstration project by capturing CO2 emitted from cement factories near the city of Saraburi and transporting it to the nearby Sirikit oil field for CO2-enhanced oil recovery. This project can potentially recover 29 MMbbl of incremental oil. For Cluster II, CO2 emitted from natural gas-ired power plants around Bangkok and petrochemical plants in Rayong is captured and stored in saline aquifers in the nearby Khorat Basin. For all other CCS clusters, emitted CO2 can be stored in saline aquifers within a 200 km distance. However, detailed characterization of saline aquifers in Thai sedimentary basins such as caprock integrity, reservoir connectivity, net-to-gross etc., is required to materialize these CCS projects.
      原文链接:
    • NSTL