In Well Nuclear Magnetic Resonance (NMR) Multiphase Flowmeter in the Oil and Gas Industry

2004 ◽  
Author(s):  
J.T. Ong ◽  
M.B. Oyeneyin ◽  
E.J. Coutts ◽  
I.M. MacLean
Keyword(s):  
Nuclear Magnetic Resonance ◽  
Magnetic Resonance ◽  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Gas Industry ◽  
Nuclear Magnetic

Nuclear Magnetic Resonance Multiphase Flowmeters: Current Status and Future Prospects

2021 ◽  
pp. 1-14
Author(s):  
Masoumeh Zargar ◽  
Michael L. Johns ◽  
Jana M. Aljindan ◽  
Mohamed Nabil Noui-Mehidi ◽  
Keelan T. O'Neill
Keyword(s):  
Nuclear Magnetic Resonance ◽  
Magnetic Resonance ◽  
Oil And Gas ◽  
Current Status ◽  
Process Industries ◽  
Phase Velocities ◽  
Individual Phase ◽  
Future Challenges ◽  
Complex Measurement ◽  
Nuclear Magnetic

Summary Multiphase flowmetering is a requirement across a range of process industries, particularly those that pertain to oil and gas. Generally, both the composition and individual phase velocities are required; this results in a complex measurement task made more acute by the prevalence of turbulent flow and a variety of flow regimes. In the current review, the main technical options to meet this metrology are outlined and used to provide context for the main focus on the use of nuclear magnetic resonance (NMR) technology for multiphase flowmetering. Relevant fundamentals of NMR are detailed as is their exploitation to quantify flow composition and individual phase velocities for multiphase flow. The review then proceeds to detail three NMR multiphase flowmeter (MPFM) apparatus and concludes with a consideration of future challenges and prospects for the technology.

Estimate Permeability from Nuclear Magnetic Resonance Measurements Using Improved Artificial Neural Network Based on Genetic Algorithm

2011 ◽  
Vol 110-116 ◽  
pp. 5072-5077
Author(s):  
Yu Zhou ◽  
Guo Qi Wei ◽  
He Kun Guo
Keyword(s):  
Neural Network ◽  
Genetic Algorithm ◽  
Nuclear Magnetic Resonance ◽  
Artificial Neural Network ◽  
Magnetic Resonance ◽  
Information Gain ◽  
Oil And Gas Industry ◽  
Intelligent Technique ◽  
Artificial Neural ◽  
Nuclear Magnetic

Knowledge of the permeability distribution is critical to a successful reservoir model. Nuclear Magnetic Resonance (NMR) measurements can be used for permeability prediction because the T2 relaxation time is proportional to pore size. Due to the conventional estimators have difficult and complex problems in simulating the relationship between permeability and NMR measurements, an intelligent technique using artificial neural network and genetic algorithm to estimate permeability from NMR measurements is developed. Neural network is used as a nonlinear regression method to develop transformation between the permeability and NMR measurements. Genetic algorithm is used for selecting the best parameters and initial value for the neural network, which solved two major problems of the network: local minima and parameter selection depend on experience. Information gain principle is introduced to select the neural network's input parameters automatically from data. The technique is demonstrated with an application to the well data in Northeast China. The results show that the refined technique make more accurate and reliable reservoir permeability estimation compared with conventional methods. This intelligent technique can be utilized a powerful tool for estimate permeability from NMR logs in oil and gas industry.

Multiphase flow metering with nuclear magnetic resonance

2015 ◽  
Vol 82 (11) ◽  
Author(s):  
Attila M. Bilgic ◽  
Johannes W. Kunze ◽  
Volker Stegemann ◽  
Jankees Hogendoorn ◽  
Lucas Cerioni ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Multiphase Flow ◽  
Oil And Gas ◽  
High Sensitivity ◽  
Oil And Gas Industry ◽  
High Water ◽  
Single Measurement ◽  
Gas Industry ◽  
Flow Metering ◽  
Measurement Principle

AbstractThe measurement of fluids in the oil and gas industry requires a robust measurement of multiphase flows. Magnetic resonance as a measurement principle has multiple advantages over existing technologies (one single measurement principle, measurement performed from outside the pipe with no intruding sensors, full bore design, suited for producing wells and high sensitivity at high water liquid ratios). A magnetic resonance based multiphase flow meter which is capable of producing an image of the spatial distribution of a multiphase flow has been developed. This article describes the principles of magnetic resonance. Afterwards details of the technical implementation and the method by which the system determines multiphase flow composition are explained.

An emerging technology: Nuclear magnetic resonance microscopy

1988 ◽  
Vol 46 ◽  
pp. 1000-1001
Author(s):  
M.J. Hennessy ◽  
E. Kwok
Keyword(s):  
Nuclear Magnetic Resonance ◽  
Magnetic Resonance ◽  
Relaxation Times ◽  
Basic Research ◽  
Local Environment ◽  
Magnetic Resonance Images ◽  
Nmr Microscopy ◽  
Mri Scans ◽  
Temperature Relaxation ◽  
Nuclear Magnetic

Much progress in nuclear magnetic resonance microscope has been made in the last few years as a result of improved instrumentation and techniques being made available through basic research in magnetic resonance imaging (MRI) technologies for medicine. Nuclear magnetic resonance (NMR) was first observed in the hydrogen nucleus in water by Bloch, Purcell and Pound over 40 years ago. Today, in medicine, virtually all commercial MRI scans are made of water bound in tissue. This is also true for NMR microscopy, which has focussed mainly on biological applications. The reason water is the favored molecule for NMR is because water is,the most abundant molecule in biology. It is also the most NMR sensitive having the largest nuclear magnetic moment and having reasonable room temperature relaxation times (from 10 ms to 3 sec). The contrast seen in magnetic resonance images is due mostly to distribution of water relaxation times in sample which are extremely sensitive to the local environment.

Nuclear magnetic resonance microscopy

1989 ◽  
Vol 47 ◽  
pp. 828-829
Author(s):  
Paul C. Lauterbur
Keyword(s):  
Magnetic Field ◽  
Nuclear Magnetic Resonance ◽  
Magnetic Resonance ◽  
Magnetic Fields ◽  
Signal To Noise ◽  
Field Gradients ◽  
Useful Signal ◽  
Magnetic Field Gradients ◽  
Observation Times ◽  
Nuclear Magnetic

Nuclear magnetic resonance imaging can reach microscopic resolution, as was noted many years ago, but the first serious attempt to explore the limits of the possibilities was made by Hedges. Resolution is ultimately limited under most circumstances by the signal-to-noise ratio, which is greater for small radio receiver coils, high magnetic fields and long observation times. The strongest signals in biological applications are obtained from water protons; for the usual magnetic fields used in NMR experiments (2-14 tesla), receiver coils of one to several millimeters in diameter, and observation times of a number of minutes, the volume resolution will be limited to a few hundred or thousand cubic micrometers. The proportions of voxels may be freely chosen within wide limits by varying the details of the imaging procedure. For isotropic resolution, therefore, objects of the order of (10μm) may be distinguished.Because the spatial coordinates are encoded by magnetic field gradients, the NMR resonance frequency differences, which determine the potential spatial resolution, may be made very large. As noted above, however, the corresponding volumes may become too small to give useful signal-to-noise ratios. In the presence of magnetic field gradients there will also be a loss of signal strength and resolution because molecular diffusion causes the coherence of the NMR signal to decay more rapidly than it otherwise would. This phenomenon is especially important in microscopic imaging.

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