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A Rock Structure Recognition System Using FMI Images
[chapter]
2009
Lecture Notes in Computer Science
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In this paper, with characteristics of rock structures from FMI images, we develop an efficient and intelligent rock structure recognition system by engaging image processing and pattern recognition technologies ...
First, we choose the most effective color and shape features for rock images. Then, the corresponding single classifier is designed to recognize the FMI images. ...
In this paper, by applying pattern recognition technologies, we develop a rock structure recognition system based on FMI images. ...
doi:10.1007/978-3-642-10677-4_95
fatcat:rknslx2c2nhdrb526pixkarwxi
A New Approach towards Precise Planar Feature Characterization Using Image Analysis of FMI Image: Case Study of Gachsaran Oil Field Well No. 245, South West of Iran
2015
Journal of Petroleum Science and Technology
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Formation micro imager (FMI) can directly reflect changes of wall stratums and rock structures. ...
The system was tested with real interpretation FMI rock images. ...
Secondly, FMI images are usually of great noises. In practice, even with manual processing, it is very difficult to analyze and classify rock structures without enough expertise. ...
doi:10.22078/jpst.2015.506
doaj:bed1a827d71d44ebabf15687452d0e6e
fatcat:vy5ukrmmazhv3lbiqrxpjuiyyq
A new approach to heterogeneity analysis in a highly complex carbonate reservoir by using borehole image and conventional log data
2020
Journal of Petroleum Exploration and Production Technology
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This study outstretches a new method to specify the heterogeneity of the studied reservoir by combining BHI (Borehole Image Log) and conventional log data for 4 existing wells. ...
Spectrum porosity was calculated through probabilistic analysis based on core and FMI data which has specified two general types of porosity in studied field as primary porosity (microporosities and intercrystalline ...
FMI texture analysis shows a different type of porosity. The micro-and macroporosity can be interpreted based on Image log analysis. ...
doi:10.1007/s13202-020-00930-4
fatcat:uro5udutrva7pc4q4h4himfmue
A two-stage classification method for borehole-wall images with support vector machine
2018
PLoS ONE
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The traditional image classification methods based on unified feature extraction algorithm and single classifier is not effect for the borehole images. ...
In this paper, three dominant types of borehole-wall images on coal-rock mass structure, namely, border images, fracture images and intact rock mass images are mainly studied. ...
[12] analyzed the images characteristics of rock structure acquired by Formation Micro Imager (FMI) and developed a rock structure classification system. ...
doi:10.1371/journal.pone.0199749
pmid:29953481
pmcid:PMC6023159
fatcat:75hiri4zvvf7dffjaudoudzyhq
The Use Of Classifiers In Image Analysis Of Oil Wells Profiling Process And The Automatic Identification Of Events
2014
Zenodo
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Most of these techniques are based on manual observation of the captured borehole images. ...
We suggest the use of different classifiers methods, in order to achieve different knowledge dataset configurations. ...
Fractures with displacement of rock mass are called faults.
The Use of Classifiers in Image Analysis of Oil Wells Profiling Process and the Automatic Identification of Events Jaqueline M. R. ...
doi:10.5281/zenodo.1096901
fatcat:yroys5oglfe7dj22my4iqlmrra
An integrated approach to study the impact of fractures distribution on the Ilam-Sarvak carbonate reservoirs: A case study from the Strait of Hormuz, the Persian Gulf
2017
Journal of Petroleum Science and Engineering
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Afterwards, the velocity deviation log (VDL) and fracture intensity log (FIL) were derived as fracture attributes from the interpretation of Formation Micro Imager (FMI) and conventional well logs. ...
Based on the porosity and permeability data, seven HFUs were determined for the Ilam-Sarvak reservoirs. The very high values of Log FZI indicate the possible presence of fractures. ...
The surveying of the fractures achieved using a Formation Micro Imager (FMI) (water based drilling fluid) in three wells. ...
doi:10.1016/j.petrol.2017.03.001
fatcat:xfonbk5otbax3a5wwm3hf5h2zy
Volcanic Rock-Hosted Natural Hydrocarbon Resources: A Review
[chapter]
2012
Updates in Volcanology - New Advances in Understanding Volcanic Systems
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In addtion, logging facies' analysis and FMI image interpretation is used so as to discriminate volcanic rocks as well as their textures and structures.
. . ...
The texture and structure information of volcanic rocks can be depicted with FMI images. ...
doi:10.5772/54587
fatcat:o34n3ab7lvc5tablink6tus3ve
Guest editorial: special issue on the emerging applications of neural networks
2010
Neural computing & applications (Print)
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The US feared that they would be overtaken by the Japanese. This resulted in Ira Skurnick, a program funding manager in the US defense Science Office, decided to fund neural computing research again. ...
This special issue delineates how the versatile neural networks are affecting us everyday. The papers solicited are selected from papers presented in the ICONIP 2009. ...
''FMI Image Based Rock Structure Classification Using Classifier Combination'' to provide a new kind of geology application. 5. ...
doi:10.1007/s00521-010-0427-z
fatcat:5t2jb3g27baoth2okcnp4j4xwm
Spot Detection in Images with Noisy Background
[chapter]
2011
Lecture Notes in Computer Science
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To assess algorithm accuracy we use a simple voting technique: by a visual comparison of the results, three domain experts vote for the best algorithms. ...
Results are encouraging, in terms of accuracy and time reduction, especially for the algorithm based on local thresholding technique. ...
This work has been partially supported by Camera di Commercio, Industria, Artigianato e Agricoltura di Ferrara, under the project "Image Processing and Artificial Vision for Image Classifications in Industrial ...
doi:10.1007/978-3-642-24085-0_59
fatcat:7bmlk6qov5cf7f3iwyubaanpim
BACH HOFIELD, A FRACTURED GRANITIC BASEMENT RESERVOIR, CUU LONG BASIN, OFFSHORE SE VIETNAM: A "BURIED-HILL" PLAY
2009
Journal of Petroleum Geology
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A combination of seismic, wireline, FMI and core data shows that Bach Ho field in the Cuu Long Basin, offshore SE Vietnam, is an unusual "buried hill" reservoir. ...
These pre-late Oligocene mineral-filled fractures acted as zones of structural weakness during and after subsequent late Oligocene structural deformation. ...
ACKNOWLEDGEMENTS The wireline, rock property, and seismic data from Bach Ho field was provided by Petrovietnam, as was access to the Bach Ho core. ...
doi:10.1111/j.1747-5457.2009.00440.x
fatcat:4shh3yijpbb53dbzqfldpckpa4
Predictability of properties of a fractured geothermal reservoir: the opportunities and limitations of an outcrop analogue study
2017
Geothermal Energy
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Siegesmund for permission to use the tectonic laboratory and Dr. J. Reinecker for providing well data and discussion of the results. ...
Data on fracture apertures and densities are based on FMI images; data on fracture mineralization was analysed using a combination of FMI, LDS, and DSI, provided by J. Reinecker (GeoT). ...
Methods
Outcrop-based methods In this study, we used classic structural geological fieldwork, including mechanical rock property measurements, and optical microscopy, which included image analysis of ...
doi:10.1186/s40517-017-0081-0
fatcat:ilyslgvoezaa5e2x2n7srzulke
Development of a Papua New Guinean onshore carbonate reservoir: A comparative borehole image (FMI) and petrographic evaluation
2013
Marine and Petroleum Geology
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Here, a combined borehole image (FMI -Fullbore Formation MicroImager), and petrographic study allowed evaluation of depositional and diagenetic trends across an Australasian subsurface buildup that is ...
The petrographic study allowed more detailed examination of diagenesis and its impact on rock fabric (which links to the FMI textures). ...
Initial FMI characterisation and analysis was undertaken by Dale Lewis at Schlumberger Oilfield Australia Pty. Ltd., Perth. Petrology and comparison of results with FMI was by Moyra Wilson. ...
doi:10.1016/j.marpetgeo.2013.02.018
fatcat:yizheewuwjf7xnzs7rkfhdtei4
Random Forest Classification of Land Use, Land-Use Change and Forestry (LULUCF) Using Sentinel-2 Data—A Case Study of Czechia
2022
Remote Sensing
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This study focuses on the development of a Sentinel-2 data classification according to the LULUCF requirements on the cloud-based platform Google Earth Engine (GEE). ...
The highest accuracy classification with an overall accuracy = 89.1% and Cohen's Kappa = 0.84 had the following combination: NT = 150, VPS = 3 and BF = 0.1. ...
The developed method is based on the classification of Sentinel-2 data using the Random Forest classifier in the cloud-based platform GEE. ...
doi:10.3390/rs14051189
fatcat:6boorm3zpjfr3dbh5v2zxcsyhe
Classification of Void Space Types in Fractured-Vuggy Carbonate Reservoir Using Geophysical Logging: A Case Study on the Sinian Dengying Formation of the Sichuan Basin, Southwest China
2021
Energies
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The VSTs presented various logging responses and values, and based on these, an identification method of VSTs using Bayes discriminant analysis (BDA) was proposed. ...
The fractured-vuggy carbonate reservoirs display strong heterogeneity and need to be classified into different types for specific characterization. ...
Formation micro-resistivity images (FMIs) were combined with logging data for the identification of void space types. ...
doi:10.3390/en14165087
fatcat:jae5jotq4bbr3hxhlcyzkaemle
Artificial Intelligence, 3D Documentation, and Rock Art—Approaching and Reflecting on the Automation of Identification and Classification of Rock Art Images
2021
Journal of Archaeological Method and Theory
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We, therefore, attempted to train a model that locates and classifies image objects using faster region-based convolutional neural network (Faster-RCNN) based on data produced by a novel method to improve ...
The data included 4305 individual images in 408 scans of rock art sites. To enhance the models and enrich the training data, we used data augmentation and transfer learning. ...
Swedish Rock Art Research Archives for their tireless work. ...
doi:10.1007/s10816-021-09518-6
fatcat:6iebozg5i5glfcniiu3oatvnve
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