Wireline Log and Borehole Image Interpretation for FORGE Well 58-32, Beaver County, Utah, and Integration with Core Data

2019 ◽  
Author(s):  
David A. Handwerger ◽  
John D. Mclennan
Keyword(s):  
Image Interpretation ◽  
Core Data ◽  
Beaver County ◽  
Borehole Image

Borehole image electrofacies with a comparative carbonate petrography analysis: An outcrop well study associated with reservoir application in the Ordovician Tarim Basin

2018 ◽  
Vol 6 (3) ◽  
pp. T723-T737
Author(s):  
Tao Nian ◽  
Zaixing Jiang ◽  
Hongyu Song
Keyword(s):  
Diagnostic Criteria ◽  
Carbonate Platform ◽  
Image Interpretation ◽  
Image Data ◽  
Depth Interval ◽  
Petrographic Analysis ◽  
Thin Sections ◽  
Direct Interpretation ◽  
Borehole Image ◽  
Subsurface Reservoir

Electrical borehole image logs have the potential for direct interpretation of lithofacies characteristics. The challenge is to establish a set of reliable diagnostic criteria with which electrical images can be correlated to lithofacies features such as lithology, sedimentary structures, and bedding sequences. We used the “behind-outcrop” logging procedure that can link borehole images to actual rocks and also reduce errors that are associated with core-shift process. To better reveal the correlation between borehole images and carbonate lithofacies for subsurface reservoir applications, and also make a comparative petrographic analysis with the aim of establishing diagnostic criteria for borehole images, a 200 m well was drilled in the Tarim Ordovician outcrop. A full set of borehole image data and cores with approximately 100% coring recovery rate was acquired at the same depth interval, and more than 100 stained thin sections were prepared. Electrical borehole images in wells adjacent to the outcrop were further interpreted to validate the proposed criteria. Borehole image electrofacies were established according to the image elements, such as stacked mode, bed thickness, conglomerate diameter, rim characteristics, and internal structure of bed/conglomerate, to interpret depositional/diagenetic textures and platform-slope associations. Nine image electrofacies types, corresponding to mud/wacke/pack/grain/bindstone texture, were identified and interpreted in detail. Our method reveals a set of diagnostic criteria for borehole image interpretation in carbonate platform slope, and it finally provides a powerful tool for direct interpretation of electrical images in similar reservoir environment.

Cloud-Based Borehole Image Interpretation Workflow Using Machine Learning

2018 ◽  
Author(s):  
T. Yamada ◽  
J. Kherroubi ◽  
A. He ◽  
Y. Matsumura
Keyword(s):  
Machine Learning ◽  
Image Interpretation ◽  
Borehole Image

Integrated Workflow for Small Scale Reservoir Characterization Using borehole Image, NMR and Core Data

2012 ◽  
Author(s):  
Haifa Rashed Al-Muraikhi ◽  
Deepak Joshi ◽  
Asmaa Faisal Al-bloushi
Keyword(s):  
Reservoir Characterization ◽  
Small Scale ◽  
Core Data ◽  
Borehole Image

Integration Applications of Image and Sonic Data in the Fault-Dominated Carbonate Reservoir in Tarim Basin

2021 ◽  
Author(s):  
Yu Zhang ◽  
Honglin Xiao ◽  
XiaoMing Zhang ◽  
Haidong Liu ◽  
Bo Liu ◽  
...  
Keyword(s):  
Tarim Basin ◽  
Image Interpretation ◽  
Three Dimensional ◽  
Research Area ◽  
Strike Slip ◽  
Carbonate Reservoir ◽  
Strike Slip Fault ◽  
Fault System ◽  
High Definition ◽  
Borehole Image

Abstract Carbonate reservoir is one of the most complex and important reservoirs in the world. It was confirmed that the slip-strike fault played a crucial role in the fault-dominated carbonate reservoir in Tarim basin. It is challenging to evaluate this kind of reservoir using the open-hole log or seismic data. Identifying and characterizing the fault-dominated carbonate reservoir were the objectives of this case study. High-definition borehole resistivity image and dipole sonic logs were run in several wells in the research area. It was revealed the detail features of the fault-dominated carbonate reservoir, such as natural fractures, faults or breccias. Compared with the typical geological model of strike-slip faults and outcrop features, the characteristics of the breccia zone and the fracture zone in the strike-slip fault system were summarized from the borehole image interpretation. A unique workflow was innovated with the integration of image and sonic data. Breccias and fractures were observed in the borehole image; and reflections or attenuations in Stoneley waveforms can provide indicating flag for permeable zones. Integrated with the other related geological data like mud logging or cores, the best pay zones in the fault-dominated carbonate reservoir were located. The characteristics of the strike-slip fault was revealed with the integration of the full-bore formation microimager and dipole shear sonic imager data. The fault core was a typical breccia zone with strong dissolution, which showed good potential in permeability, but it was found that some fault cores were filled with siliceous rock or intrusive rock. The features of the fillings in the fault zone were described based on the image and sonic data. The side cores or geochemical spectroscopy logs data helped to determine the mineralogy of the fillings. The fracture zones had clear responses in the image and sonic data too. The un-filled or half-filled breccia zone were the best zones in the fault-dominated carbonated reservoir. The details of the fault-dominated carbonate reservoir could be used in the future three-dimensional geological modelling.

Acoustic and Microresistivity Borehole Image Logs and Core Data Integration in Well DN-22, Drago Field, Oriente Basin, Ecuador

2015 ◽  
Author(s):  
V. Badillo ◽  
J. A. Pérez ◽  
R. E. Rengel
Keyword(s):  
Data Integration ◽  
Core Data ◽  
Borehole Image ◽  
Borehole Image Logs

Structural Curvature Analysis from Borehole Image Interpretation

2021 ◽  
Author(s):  
P. Gillespie ◽  
G. Digranes ◽  
B. Graham
Keyword(s):  
Image Interpretation ◽  
Curvature Analysis ◽  
Borehole Image

Fracture Characterization in Basement Reservoirs using Borehole Image and Core Data

2014 ◽  
Author(s):  
M. Habermueller ◽  
C. Rambousek ◽  
N. Levi ◽  
P. Munday ◽  
K. Decker
Keyword(s):  
Fracture Characterization ◽  
Core Data ◽  
Basement Reservoirs ◽  
Borehole Image

A DEEP-LEARNING APPROACH FOR BOREHOLE IMAGE INTERPRETATION

2019 ◽  
Author(s):  
Kinjal Dhar Gupta ◽  
Valentina Vallega ◽  
Hiren Maniar ◽  
Philippe Marza ◽  
Hui Xie ◽  
...  
Keyword(s):  
Deep Learning ◽  
Image Interpretation ◽  
Learning Approach ◽  
Borehole Image

Observation of biological macromolecules using various electron microscopic methods

1978 ◽  
Vol 36 (2) ◽  
pp. 170-171
Author(s):  
Mitsuo Ohtsuki ◽  
Michael Sogard
Keyword(s):  
Electron Microscope ◽  
Phase Contrast ◽  
Image Interpretation ◽  
Density Lipoprotein ◽  
Biological Macromolecules ◽  
Contrast Effects ◽  
Biological Structure ◽  
Electron Microscopic ◽  
Structural Investigations ◽  
Staining Techniques

Structural investigations of biological macromolecules commonly employ CTEM with negative staining techniques. Difficulties in valid image interpretation arise, however, due to problems such as variability in thickness and degree of penetration of the staining agent, noise from the supporting film, and artifacts from defocus phase contrast effects. In order to determine the effects of these variables on biological structure, as seen by the electron microscope, negative stained macromolecules of high density lipoprotein-3 (HDL3) from human serum were analyzed with both CTEM and STEM, and results were then compared with CTEM micrographs of freeze-etched HDL3. In addition, we altered the structure of this molecule by digesting away its phospholipid component with phospholipase A2 and look for consistent changes in structure.

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