Well logging—A 25‐year perspective

Geophysics ◽  
1985 ◽  
Vol 50 (12) ◽  
pp. 2504-2529 ◽  
Author(s):  
Donald D. Snyder ◽  
David B. Fleming

Developments in the field of well logging over the last 25 years are reviewed. Surface and borehole instrumentation have evolved significantly, taking advantage of modern digital and analog integrated circuits. Most open‐hole petroleum well logs are now recorded digitally. Digital logs are also frequently acquired in cased‐hole petroleum, mineral, and geotechnical applications. Nuclear well‐log measurements have become accepted and reliable. New measurements include borehole compensated density and neutron‐porosity, sidewall epithermal neutron‐porosity, and most recently litho‐density. The neutron decay log, developed early in the 25‐year period, has undergone a number of major improvements since its introduction. Probes which make spectral measurements of natural gamma‐ray emission, and gamma‐ray emission from neutron interactions with matter have also been developed. Resistivity measurements are now made with probes which combine three or more sensors each with different depths of investigation so that information about the borehole invasion profile can be acquired. Acoustic logging methods have expressed major developments and improvements. The compensated sonic measurement was introduced early in the period along with the cement bond logging method. Interest in measurement of shear‐wave velocity has produced new direct shear‐wave measurements as well as improved acoustic probes for full‐waveform acoustic logging. Other interesting or promising methods which have been developed or improved during the period include the borehole televiewer, the borehole gravimeter, and the nuclear magnetic resonance log. The digital computer provides powerful capabilities for well‐log analysis both at the well site and in the office. Analysis of complex sand‐shale and carbonate formations using two or more logs in a simultaneous solution of a litho‐porosity model is now routine. Powerful signal processing techniques are being applied to “deconvolve” well logs, to enhance or synthesize images of the wellbore, and to estimate or extract information from full‐waveform acoustic logs. While new or improved measurements have been introduced and log analysts now have access to powerful computers and graphic work stations, understanding of the petrophysical significance of the measurements lags behind the basic hardware measurement and interpretation technology.

Mathematics ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 1176
Author(s):  
Jie Hu ◽  
Guangzheng Jiang ◽  
Yibo Wang ◽  
Shengbiao Hu

The thermal conductivity of a stratum is a key factor to study the deep temperature distribution and the thermal structure of the basin. A huge expense of core sampling from boreholes, especially in offshore areas, makes it expensive to directly test stratum samples. Therefore, the use of well logging (the gamma-ray, the neutron porosity, and the temperature) to estimate the thermal conductivity of the samples obtained from boreholes could be a good alternative. In this study, we measured the thermal conductivity of 72 samples obtained from an offshore area as references. When the stratum is considered to be a shale–sand–fluid model, the thermal conductivity can be calculated based on the mixing models (the geometric mean and the square root mean). The contents of the shale and the sand were derived from the natural gamma-ray logs, and the content of the fluid (porosity) was derived from the neutron porosity logs. The temperature corrections of the thermal conductivity were performed for the solid component and the fluid component separately. By comparing with the measured data, the thermal conductivity predicted based on the square root model showed good consistency. This technique is low-cost and has great potential to be used as an application method to obtain the thermal conductivity for geothermal research.


1981 ◽  
Vol 21 (03) ◽  
pp. 315-322 ◽  
Author(s):  
Harry D. Smith ◽  
Ward E. Schultz

Abstract Monte Carlo techniques have been used to simulate the response of a multi window natural gamma ray spectral log to varying borehole conditions and to investigate the potential of a porosity logging concept using a ratio of fast to epithermal neutrons. Introduction There are many situations in nuclear well logging research when it would be highly desirable to have a theoretical method of realistically simulating the measurements made by a downhole logging instrument. In the early stages of research into the feasibility of a logging concept, it would be possible to make an accurate theoretical determination of whether the idea should be pursued. Should the concept turn out to be unsound, the expense and time required to design, build, and test a logging system would be avoided. In later stages of log development, the theoretical model could be used to assist in optimizing sonde design and specifications. In situations where a logging device already has been developed fully, such a model also could be used to ascertain much information about the way the physical device works. As an illustration, a theoretical simulation of a neutron (n, ?) logging sonde could provide information regarding the relative importance of the gamma rays scattered into the detector from the various downhole materials (Le., toolcase, borehole fluid, formation, cement, and well casing). The depth of investigation into the formation and the significance of neutrons in the gamma ray detector could be estimated also. Few of these parameters could easily be determined experimentally. Monte Carlo radiation transport techniques,1,2 which long have been used by scientists involved in nuclear reactor shielding design and radiation dosimetry, perhaps provide the best methods for fulfilling the theoretical nuclear logging objectives mentioned. Several papers in this area have been published.3–6 Our paper briefly describes both the Monte Carlo method and the specific Monte Carlo computer programs - SAM-C7 and an updated version SAM-CE8 - which we have been using in nuclear logging applications. Two specific illustrations are discussed. The first example involves the simulation of a natural gamma ray spectral logging device. Monte Carlo results are presented which indicate that significant errors can be introduced into the elemental concentrations obtained from these instruments unless compensations are made for differing borehole conditions. The second example describes how we have used Monte Carlo program SAM-CE to simulate an untested porosity logging technique that uses a ratio of fast to epithermal neutrons. The sensitivity and linearity of this ratio to changes in porosity were determined from the program, as were the effects of changing matrix type. These results then are compared with calculations simulating a conventional dual-spaced epithermal porosity measurement under identical lithologic conditions. The two examples presented in this paper involve relatively simple geometries to facilitate concept comprehension by the reader. Much more complex geometries also are well within the capabilities of SAM-CE or other current Monte Carlo programs.


Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 850
Author(s):  
Jadwiga A. Jarzyna ◽  
Stanisław Baudzis ◽  
Mirosław Janowski ◽  
Edyta Puskarczyk

Examples from the Polish clastic and carbonate reservoirs from the Central Polish Anticlinorium, Carpathians and Carpathian Foredeep are presented to illustrate possibilities of using well logging to geothermal resources recognition and characterization. Firstly, there was presented a short description of selected well logs and methodology of determination of petrophysical parameters useful in geothermal investigations: porosity, permeability, fracturing, mineral composition, elasticity of orogeny and mineralization of formation water from well logs. Special attention was allotted to spectral gamma-ray and temperature logs to show their usefulness to radiogenic heat calculation and heat flux modelling. Electric imaging and advanced acoustic logs provided with continuous information on natural and induced fracturing of formation and improved lithology recognition. Wireline and production logging were discussed to present the wealth of methods that could be used. A separate matter was thermal conductivity provided from the laboratory experiments or calculated from the results of the comprehensive interpretation of well logs, i.e., volume or mass of minerals composing the rocks. It was proven that, in geothermal investigations and hydrocarbon prospection, the same petrophysical parameters are considered, and well-logging acquisition equipment and advanced methods of processing and interpretation, developed and improved for almost one hundred years, can be successfully used in the detection and characterization of the potential geothermal reservoirs. It was shown that the newest (current investment)—as well as the old type (archive)—logs provide useful information.


Geophysics ◽  
2014 ◽  
Vol 79 (3) ◽  
pp. D145-D159 ◽  
Author(s):  
Olabode Ijasan ◽  
Carlos Torres-Verdín ◽  
William E. Preeg ◽  
John Rasmus ◽  
Edward Stockhausen

A recently introduced interpretation workflow has confirmed that inversion-based interpretation is more reliable than conventional well-log analysis in high-angle (HA) and horizontal (HZ) wells because the former accounts for well trajectory and shoulder-bed effects on well logs. Synthetic examples show that the inversion workflow could improve the estimation of hydrocarbon volumes by 15% and 10% in HA and HZ intervals, respectively. Using field examples of thinly interbedded calcite-cemented siltstone formations, we document results of the joint petrophysical inversion of logging-while-drilling multisector nuclear (neutron porosity, density, natural gamma ray, photoelectric factor) and multiarray propagation resistivity measurement for improved formation evaluation in HA/HZ wells. Under the assumption of multilayer formation petrophysical models, the inversion approach estimates formation properties by numerically reproducing the available measurements. Subsequently, inversion-derived hydrocarbon pore volume is calculated for assessment of reservoir pay. Application of the joint inversion-based interpretation in challenging field examples highlights petrophysical characteristics such as capillary trends or water saturation variations in a hydrocarbon column influenced by reservoir quality and formation electrical anisotropy which otherwise remain inconspicuous with conventional and quick-look interpretation of well-logs.


Geophysics ◽  
1974 ◽  
Vol 39 (4) ◽  
pp. 545-549 ◽  
Author(s):  
F. Branisa

In well logging the signal‐to‐noise ratio is usually not a great problem. However, modification of the recorded signal can be very beneficial in well‐logging applications by making the different recorded curves more compatible with each other. The design and use of filters for this purpose has been discussed before, e.g., George et al. (1964), Foster et al. (1962), and Lindseth (1966). The techniques described in these articles (and in this paper) apply to digitized well logs. The purpose of this note is to present further examples of the use of filters to equalize various logs.


2018 ◽  
Vol 2 (1) ◽  
pp. 1
Author(s):  
Jamaluddin . ◽  
Septian Tri Nugraha ◽  
Maria Maria ◽  
Emi Prasetyawati Umar

Penelitian ini bertujuan untuk menentukan potensi batuan induk di Formasi Talangakar dengan melihat parameter total organik carbon (TOC). TOC dimodelkan dengan melakukan crossplot antara TOC measured dengan log gamma ray, log densitas, log neutron-porosity, log resistivity, dan log P wave (multi linier regresi). Formasi Talangakar yang menjadi target pada studi ini terletak pada kedalaman 2280 m-2885 m, memiliki material organik yang kaya dengan TOC berkisar antara 1.09 %-1.29 %. Pemodelan TOC didapatkan regresi sebesar 0.1432 terhadap parameter log (log gamma ray, log density, log Neutron-Porosity, log Sonik, dan log Resistivity).


2014 ◽  
Vol 54 (1) ◽  
pp. 241
Author(s):  
Hanieh Jafary Dargahi ◽  
Reza Rezaee

The recognition of distinct rock types through log responses, referred to as electrofacies, is a fundamental role in mapping stratigraphic units that do not have any specific geological description. Lateral variability within adjoining intervals is differentiated by studying lithological characteristics such as petrography and mineralogy acquired from visual core description. In non-cored wells electrofacies analysis, therefore, is the most reliable way in determining reservoir zonations. The electrofacies’ accuracy is critically important in defining potentially desirable rock types for shale gas reservoirs in non-cored intervals, which can be obtained through an analogy of well log responses in identical lithofacies within cored wells. Considering the complexity of making a final prediction due to the unavailability of different well logs covering the whole area, only the gamma-ray log is used in determining electrofacies patterns within the studied shale gas intervals. The electrofacies patterns within identified lithofacies have been studied for the Kockatea Shale, which presented analogous patterns for identical lithological facies. The similarity has allowed for the correlation of lithofacies in cored and non-cored wells, and the evaluation of lithofacies variability and development within various wells. The correlation of the defined electrofacies indicates facies changes across the basin in association with thickening of some lithofacies. The thickest part of the electrofacies is shown at the Dandaragan Trough and the Beagle Ridge. Some electrofacies, however, have disappeared in some parts of these areas, such as lithofacies E in the Beagle Ridge, which is partially replaced by electrofacies C.


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