Literature survey

About: Literature survey is a research topic. Over the lifetime, 15372 publications have been published within this topic receiving 459196 citations.

Wettability literature survey - Part 5: The effects of wettability on relative permeability

Abstract: The wettability of a core will strongly affect its waterflood behavior and relative permeability. Wettability affects relative permeability because it is a major factor in the control of the location, flow, and distribution of fluids in a porous medium. In uniformly or fractionally wetted porous media, the water relative permeability increases and the oil relative permeability decreases as the system becomes more oil-wet. In a mixed-wettability system, the continuous oil-wet paths in the larger pores alter the relative permeability curves and allow the system to be waterflooded to a very low residual oil saturation (ROS) after the injection of many PV's of water. The most accurate relative permeability measurements are made on native-state core, where the reservoir wettability is perserved. Serious errors can result when measurements are made on cores with altered wettability, such as cleaned core or core contaminated with drilling-mud surfactants.

Feature location in source code: a taxonomy and survey

Abstract: SUMMARY Feature location is the activity of identifying an initial location in the source code that implements functionality in a software system. Many feature location techniques have been introduced that automate some or all of this process, and a comprehensive overview of this large body of work would be beneficial to researchers and practitioners. This paper presents a systematic literature survey of feature location techniques. Eighty-nine articles from 25 venues have been reviewed and classified within the taxonomy in order to organize and structure existing work in the field of feature location. The paper also discusses open issues and defines future directions in the field of feature location. Copyright © 2011 John Wiley & Sons, Ltd.

3D Object Recognition in Cluttered Scenes with Local Surface Features: A Survey

Abstract: 3D object recognition in cluttered scenes is a rapidly growing research area. Based on the used types of features, 3D object recognition methods can broadly be divided into two categories-global or local feature based methods. Intensive research has been done on local surface feature based methods as they are more robust to occlusion and clutter which are frequently present in a real-world scene. This paper presents a comprehensive survey of existing local surface feature based 3D object recognition methods. These methods generally comprise three phases: 3D keypoint detection, local surface feature description, and surface matching. This paper covers an extensive literature survey of each phase of the process. It also enlists a number of popular and contemporary databases together with their relevant attributes.

Identification methods in microplastic analysis: a review

Abstract: Microplastics have become a major global environmental issue in recent decades due to their ubiquity in the oceans, bioavailability and ability to carry toxic chemicals. Analysis of microplastics in environmental and experimental samples has become increasingly common. We conducted a literature survey to review the current identification methods for microplastics. The advantages and limitations of each identification method were compared to indicate the best methods for microplastic analysis. Identification of microplastics is based on the physical and chemical characterisation of isolated particles in mixtures of inorganic and organic remnant particles after the extraction and clean-up steps. In addition, novel methods which may possibly be applied to microplastic identification were suggested. Microscopic identification by itself has a high risk of producing both false positive and false negative results in analyses of small microplastics. At present, combinations of physical (e.g., microscopy) and chemical (e.g., spectroscopy) analyses are widely used. However, there is a need to improve and develop new methods to reduce the identification time and effort and to detect sub-micron plastics in environmental samples.