The Viscosity of Silica Nanoparticle Dispersions in Permeable Media

2013 ◽  
Vol 16 (03) ◽  
pp. 327-332 ◽  
Author(s):  
Cigdem Metin ◽  
Roger T. Bonnecaze ◽  
Quoc P. Nguyen

Summary The potential application of nanoparticle dispersions as formation-stimulation agents, contrast agents, or simply as tracers in the upstream oil and gas industry requires knowledge of the flow properties of these nanoparticles. The modeling of nanoparticle transport in hydrocarbon reservoirs requires a comprehensive understanding of the rheological behavior of these nanofluids. Silica nanoparticles have been commonly used because of their low-cost fabrication and cost-effective surface modification. The aqueous silica-nanoparticle dispersions show Newtonian behavior under steady shear measurements controlled by a rheometer, as discussed by Metin et al. (2011b). The viscosity of nanoparticle dispersions depends strongly on the particle concentration, and that this correlation can be depicted by a unified rheological model (Metin et al. 2011b). In addition, during flow in permeable media, the variation of shear associated with complex pore morphology and the interactions between the nanoparticles and tortuous flow channels can affect the viscosity of nanoparticle dispersion. The latter is particularly important if the concentration of nanoparticles in dispersion may change because of nanoparticle adsorption on mineral/fluid and oil/water interfaces or by mechanical trapping of nanoparticles. In this paper, the flow of silica-nanoparticle dispersions through different permeable media is investigated. The rheological behaviors of the dispersions are compared with those determined by use of a rheometer. We established a correlation between the nanoparticle concentration and dispersion viscosity in porous media for various nanoparticle sizes. The effects of pore structure and shear rate are also studied. We have confirmed that the concept of effective maximum packing fraction can be applied to describe the viscosity of aqueous nanoparticle dispersions in both bulk flow and flow in porous media with high permeability and regular pore structures, but not at low permeability because of mechanical trapping. Our work provides new insight to engineering nanoparticle rheology for subsurface applications.

Author(s):  
Ivan C. Christov ◽  
Hari S. Viswanathan

This theme issue covers topics at the forefront of scientific research on energy and the subsurface, ranging from carbon dioxide (CO 2 ) sequestration to the recovery of unconventional shale oil and gas resources through hydraulic fracturing. As such, the goal of this theme issue is to have an impact on the scientific community, broadly, by providing a self-contained collection of articles contributing to and reviewing the state-of-the-art of the field. This collection of articles could be used, for example, to set the next generation of research directions, while also being useful as a self-study guide for those interested in entering the field. Review articles are included on the topics of hydraulic fracturing as a multiscale problem, numerical modelling of hydraulic fracture propagation, the role of computational sciences in the upstream oil and gas industry and chemohydrodynamic patterns in porous media. Complementing the reviews is a set of original research papers covering growth models for branched hydraulic crack systems, fluid-driven crack propagation in elastic matrices, elastic and inelastic deformation of fluid-saturated rock, reaction front propagation in fracture matrices, the effects of rock mineralogy and pore structure on stress-dependent permeability of shales, topographic viscous fingering and plume dynamics in porous media convection. This article is part of the themed issue ‘Energy and the subsurface’.


2019 ◽  
Vol 59 (2) ◽  
pp. 824
Author(s):  
David Walker

The ability to measure large amounts of data at high frequency, and the increasing ability to process these data close to the source at the edge, has opened up a new frontier in asset management. Until now, analysis of high-frequency data in real time has been the domain of a few, very expensive devices. However, this is rapidly changing, with the increasing capabilities of sensors and edge devices providing flexible, low-cost solutions that can be deployed across all site machinery to provide predictive and detailed information about these assets. All machinery vibrates at multiple frequencies when running. If you listen to this vibration, it can tell you a lot about the condition of the machine and its components. In fact, it is surprising how rich and detailed this information can be. Cavitation, insufficient lubrication, failing bearings and faulty impellers all have different vibration signatures, and by listening for these signatures it is possible to identify issues before they occur, and even predict when they will occur. It is also possible to feed this information (e.g. cavitation) to the control system so that process decisions can be made to avoid machine damage. This paper discusses solutions that are available now and currently being developed in terms of edge computing devices and advances in the algorithms that analyse the vibration data, and how they can be applied in the oil and gas industry to ensure assets are optimised and downtime is minimised.


2021 ◽  
Author(s):  
Maria Leticia Alves Goulart ◽  
Rômulo Henrique Batista de Faria ◽  
Larissa Loebens ◽  
Louise Hoss ◽  
Maurízio Silveira Quadro

Abstract Motivated to develop faster and faster contemporary society has been using more and more fossil and energy resources that can, unfortunately, cause environmental accidents. Petroleum is responsible for providing different products derived as lubricating oil widely used in different production chains and object of study of the work in question. Many environmental problems faced by the Oil and Gas Industry are associated with leaks, accidents and irregular discharges. Thus an alternative for cleaning and adsorption of oil spilled in the sea is presented the validity in this article: the rice husk, being the main objective of this article to prove its effectiveness with lubricant oil adsorbent. It was used as a low cost alternative adsorbent. Performing physical order treatments such as heating and using acid and base that could increase their efficiency. Some COD and Fitoxicity tests of the generated effluent were performed and analyzed during the work, generating excellent results related to the adsorption of lubricating oils, showing a total adsorption of 6.15 g / g when treated in basic medium and 4.7 g / g in acid medium.


2020 ◽  
Vol 60 (2) ◽  
pp. 761
Author(s):  
Sergey Shevchenko

The seismic method has been thriving in the oil and gas industry for decades. Technological progress in acquisition, processing and interpretation have made it practically the only geophysical method used for petroleum exploration. Unfortunately, gravity, as a pioneering geophysical method appears to have been completely forgotten in Australia’s oil and gas industry. Most of the gravity data in Australia were collected in the 1960s and 1970s. Only government agencies and a few exploration companies have conducted gravity surveys in petroleum basins since that time. Australia’s mostly flat terrain, economical aspects of the gravity method such as low cost and the ability to cover vast underexplored onshore basins in the country, all seem to be positive factors indicating that this method should be commonly used as a part of petroleum exploration. Given the petroleum industry is currently trying hard to make exploration more economically effective, this may be an opportunity to revive the gravity method in petroleum exploration.


Author(s):  
Ricardo Pereira Gonçalves ◽  
Edison C. P. Lima

This work presents the application of Artificial Intelligence Technology to a database that stores valuable information about structural analysis results of flexible pipes used in Oil and Gas Industry. The main objective is to create a low-cost computational tool capable to infer structural analysis results that can be used as a preliminary design for flexible pipes. This application uses Data Mining concepts for database preprocessing techniques, learning and prediction, multidimensional interpolation algorithms for knowledge gain. The usefulness and the reliability of this methodology are illustrated by means of numerical examples.


2021 ◽  
Author(s):  
Sayyad Zahid Qamar ◽  
Maaz Akhtar ◽  
Tasneem Pervez

Oil and gas drilling and development is witnessing new and inventive techniques targeted at increased production from difficult and aging wells. As depth of an oil or gas well increases, higher temperatures and harsher environments are encountered. Suitable elastomers can provide good sealing as they possess good resistance to heat and chemical attack, and as they are widely availability at low cost. In comparison with metals, elastomers are lighter in weight and lesser in stiffness and hardness, swell more with increasing temperature, and are usually better in corrosion resistance. Other reasons for their preference include excellent damping and energy absorption, more flexibility and longer life; good sealing even with moisture, heat, and pressure; negligible toxicity; good moldability; and flexible stiffness. As mentioned in chapter-1, swelling elastomers or gels have found extensive use in different applications including drug delivery, microfluidics, biomedical devices, scaffolds for tissue engineering, biosensors, etc. As the main focus of this book is the oil and gas industry, implementation of swelling elastomer technology and deployment in different petroleum applications are discussed below.


2018 ◽  
Vol 785 ◽  
pp. 107-117
Author(s):  
Vadim Aleksandrov ◽  
Marsel Kadyrov ◽  
Andrey Ponomarev ◽  
Denis Drugov ◽  
Irina Bulgakova

Microseismic monitoring of hydrocarbon fields is one of the promising areas of modern seismology. In recent years, the methodology of microseismic monitoring for seismic emission has been actively developing in the oil and gas industry in order to study the impact of various technogenic processes on the hydrocarbon (HC) fields being developed. The technology does not require powerful sources of sounding signals, but uses constantly existing weak seismic fields of artificial or natural origin. During the development of the field, periodic monitoring of the intensity and spatial position of the zones of microseismic activity allows controling the behavior of HC deposits in order to optimize their development. Distinctive features of this technology are high mobility, fast deployment time, high resolution, and low cost of receiving, transferring and processing of microseismic data. The purpose was to analyze the results and evaluate the effectiveness of MFHF using microseismic monitoring of seismic emission processes. The results were obtained with the help of quantitative microseismic monitoring of seismic foci occurring successively near the well ports at different times during MFHF.


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