Textural and pore size analysis of carbonates from integrated core and nuclear magnetic resonance logging: An Arbuckle study

2015 ◽  
Vol 3 (1) ◽  
pp. SA77-SA89 ◽  
Author(s):  
John Doveton ◽  
Lynn Watney

The T2 relaxation times recorded by nuclear magnetic resonance (NMR) logging are measures of the ratio of the internal surface area to volume of the formation pore system. Although standard porosity logs are restricted to estimating the volume, the NMR log partitions the pore space as a spectrum of pore sizes. These logs have great potential to elucidate carbonate sequences, which can have single, double, or triple porosity systems and whose pores have a wide variety of sizes and shapes. Continuous coring and NMR logging was made of the Cambro-Ordovician Arbuckle saline aquifer in a proposed CO2 injection well in southern Kansas. The large data set gave a rare opportunity to compare the core textural descriptions to NMR T2 relaxation time signatures over an extensive interval. Geochemical logs provided useful elemental information to assess the potential role of paramagnetic components that affect surface relaxivity. Principal component analysis of the T2 relaxation time subdivided the spectrum into five distinctive pore-size classes. When the T2 distribution was allocated between grainstones, packstones, and mudstones, the interparticle porosity component of the spectrum takes a bimodal form that marks a distinction between grain-supported and mud-supported texture. This discrimination was also reflected by the computed gamma-ray log, which recorded contributions from potassium and thorium and therefore assessed clay content reflected by fast relaxation times. A megaporosity class was equated with T2 relaxation times summed from 1024 to 2048 ms bins, and the volumetric curve compared favorably with variation over a range of vug sizes observed in the core. The complementary link between grain textures and pore textures was fruitful in the development of geomodels that integrates geologic core observations with petrophysical log measurements.

2007 ◽  
Vol 50 (1) ◽  
pp. 25-36
Author(s):  
G. Holló ◽  
G. Nuernberg ◽  
P. Bogner ◽  
G. Kotek ◽  
K. Nuernberg ◽  
...  

Abstract. Title of the paper: Effect of feeding on the fatty acid composition of different fatty tissues of Hungarian Grey and Holstein Friesian bulls. II. 1H-Nuclear Magnetic Resonance (NMR) investigations In this attempt the relaxation times using 1H-NMR spectroscopy from three different (subcutaneous, perinephric and internal fat) fat depots of Hungarian Grey and Holstein Friesian extensive or intensive fattened young bulls were measured. The relaxation properties were compared with the analysis of fatty acid compostion. The different diets and the sample location have a higher influence on the relaxation times than the breed. In fat samples from extensive groups the T1-relaxation time was longer, while the T2-relaxation time was significantly shorter in intensive fed groups. The T2-relaxation time, as well as the relaxation time of T21- und T22-components were the shortest in extensive fed animals, while the proportion of T21-component was the highest in kidney fat, furthermore the difference was statistics proved. The T2-relaxation time showed a close negative relationship with the ratio of saturated fatty acids (SFA). The ratio of v21 and v22 depends on chemical composition of fat samples. In fat tissues with a high SFA percentage caused a higher proportion of v21. It is suggested that differences in fatty acid compositon of fat samples caused also alteration in the relaxation time.


Energies ◽  
2022 ◽  
Vol 15 (2) ◽  
pp. 518
Author(s):  
Reza Rezaee

A nuclear magnetic resonance (NMR) logging tool can provide important rock and fluid properties that are necessary for a reliable reservoir evaluation. Pore size distribution based on T2 relaxation time and resulting permeability are among those parameters that cannot be provided by conventional logging tools. For wells drilled before the 1990s and for many recent wells there is no NMR data available due to the tool availability and the logging cost, respectively. This study used a large database of combinable magnetic resonance (CMR) to assess the performance of several well-known machine learning (ML) methods to generate some of the NMR tool’s outputs for clastic rocks using typical well-logs as inputs. NMR tool’s outputs, such as clay bound water (CBW), irreducible pore fluid (known as bulk volume irreducible, BVI), producible fluid (known as the free fluid index, FFI), logarithmic mean of T2 relaxation time (T2LM), irreducible water saturation (Swirr), and permeability from Coates and SDR models were generated in this study. The well logs were collected from 14 wells of Western Australia (WA) within 3 offshore basins. About 80% of the data points were used for training and validation purposes and 20% of the whole data was kept as a blind set with no involvement in the training process to check the validity of the ML methods. The comparison of results shows that the Adaptive Boosting, known as AdaBoost model, has given the most impressive performance to predict CBW, FFI, permeability, T2LM, and SWirr for the blind set with R2 more than 0.9. The accuracy of the ML model for the blind dataset suggests that the approach can be used to generate NMR tool outputs with high accuracy.


Author(s):  
В.В. Давыдов ◽  
Н.С. Мязин ◽  
В.И. Дудкин ◽  
Р.В. Давыдов

The features of the state investigation of a flowing liquid by nuclear magnetic resonance was defined. The methodology for the state investigation of the flowing medium by changing the values of the longitudinal T1 and transverse T2 relaxation times is justified. For the parameters of the registration system of the signal of nuclear magnetic resonance and magnetic fields are established relations between them. The implementation of these ratios allows to obtain a signal to noise ratio of more than 5 for carrying out measurements of T1 and T2 values in real time with an error not exceeding 1%. The results of experimental research are presented.


1986 ◽  
Vol 6 (2) ◽  
pp. 212-221 ◽  
Author(s):  
Hiroyuki Kato ◽  
Kyuya Kogure ◽  
Hitoshi Ohtomo ◽  
Masahiro Izumiyama ◽  
Muneshige Tobita ◽  
...  

Correlations between T1 and T2 relaxation times and water and electrolyte content in the normal and ischemic rat and gerbil brains were studied by means of both nuclear magnetic resonance (NMR) spectroscopic and imaging methods. In the spectroscopic experiment on excised rat brains, T1 was linearly dependent on tissue water content and T2 was prolonged in edematous tissue to a greater extent than expected by an increase in water content, showing that T2 possesses a greater sensitivity for edema identification and localization. Changes in Na+ and K+ content of the tissue mattered little in the prolongation of relaxation times. Serial NMR imaging of gerbil brains insulted with permanent hemispheric ischemia offered early lesion detection in T1- and especially T2-weighted images (detection as soon as 30 min after insult). The progressive nature of lesions was also imaged. Calculated T1 and T2 relaxation times in regions of interest correlated excellently with tissue water content ( r = 0.892 and 0.744 for T1 and T2, respectively). As a result, detection of cerebral ischemia utilizing NMR imaging was strongly dependent on a change in tissue water content. The different nature of T1 and T2 relaxation times was also observed.


Molecules ◽  
2021 ◽  
Vol 26 (19) ◽  
pp. 6082
Author(s):  
Jianmeng Sun ◽  
Jun Cai ◽  
Ping Feng ◽  
Fujing Sun ◽  
Jun Li ◽  
...  

The oil-based mud filtrate will invade the formation under the overbalanced pressure during drilling operations. As a result, alterations will occur to the nuclear magnetic resonance (NMR) response characteristics of the original formation, causing the relaxation time of the NMR T2 spectrum of the free fluid part to move towards a slower relaxation time. Consequently, the subsequent interpretation and petrophysical evaluation will be heavily impacted. Therefore, the actual measured T2 spectrum needs to be corrected for invasion. For this reason, considering the low-porosity and low-permeability of sandstone gas formations in the East China Sea as the research object, a new method to correct the incorrect shape of the NMR logging T2 spectrum was proposed in three main steps. First, the differences in the morphology of the NMR logging T2 spectrum between oil-based mud wells and water-based mud wells in adjacent wells were analyzed based on the NMR relaxation mechanism. Second, rocks were divided into four categories according to the pore structure, and the NMR logging T2 spectrum was extracted using the multidimensional matrix method to establish the T2 spectrum of water-based mud wells and oil-based mud wells. Finally, the correctness of the method was verified by two T2 spectrum correction examples of oil-based mud wells in the study area. The results show that the corrected NMR T2 spectrum eliminates the influence of oil-based mud filtrate and improves the accuracy of NMR logging for calculating permeability.


2015 ◽  
Vol 17 (32) ◽  
pp. 20830-20839 ◽  
Author(s):  
P. A. Vecino ◽  
Z. Huang ◽  
J. Mitchell ◽  
J. McGregor ◽  
H. Daly ◽  
...  

Relative strengths of surface interaction for individual carbon atoms in acyclic and cyclic hydrocarbons adsorbed on alumina surfaces are determined using chemically resolved 13C nuclear magnetic resonance (NMR) T1 relaxation times.


1991 ◽  
Vol 104 (2) ◽  
pp. 176-181 ◽  
Author(s):  
Lucien Rumbach ◽  
Jean-Paul Armspach ◽  
Daniel Gounot ◽  
Izzy J. Namer ◽  
Jacques Chambron ◽  
...  

Author(s):  
M.J. Hennessy ◽  
E. Kwok

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.


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