Fracture Characterization using Borehole Image Logs and Seismic Data to Define a Successful Drilling Target in the Fractured Basement - A Case Study from the Nam Con Son Basin, Southern Offshore Vietnam

2011 ◽  
Author(s):  
Bingjian Li ◽  
Phuoc Son Hoang ◽  
Binh Van Mai ◽  
lefranc Marie
Keyword(s):  
Seismic Data ◽  
Fracture Characterization ◽  
Borehole Image ◽  
Borehole Image Logs

An Operators Investigation of Performance Drivers Using Diagnostics and Data Analytics

2021 ◽  
Author(s):  
Trevor Klaassen ◽  
Jackson Haffener ◽  
Jarret Borell ◽  
Chad Senters
Keyword(s):  
Data Analytics ◽  
3D Seismic ◽  
Tracer Recovery ◽  
Multi Stage ◽  
Performance Drivers ◽  
Borehole Image ◽  
Borehole Image Logs ◽  
Well Completions ◽  
Level Performance

Abstract In multi-stage plug-and-perf horizontal well completions, there are a multitude of moving parts and variables to consider when evaluating performance drivers. Properly identifying performance drivers allows an operator to focus their efforts to maximize the rate of return of resource development. Typically, well-to-well comparisons are made to help identify performance drivers, but in many cases the differences are not clear. Identifying these drivers may require a better understanding of performance variability along a single lateral. Data analytics can help to identify performance drivers using existing data from development activities. In the case study below, multiple diagnostics are utilized to identify performance drivers. A combination of completion diagnostics including oil and water tracers, stimulation data, reservoir data, 3D seismic, and borehole image logs were collected on a set of wells in the early appraisal phase of a field. Using oil tracers as the best indication of stage level performance along the laterals, data analytics is applied to uncover the relationships between the tracers and the numerous diagnostics. After smoothing was applied to the dataset, trends between oil tracer recovery, several independent variables and features seen in image logs and 3D seismic were identified. All the analyses pointed to decreasing tracer recovery, and likely decreased oil production, near faulted areas along each lateral. A random forest model showed a moderate prediction power, where the model's predicted tracer recovery on blind stages was able to explain 54% of the variance seen in the tracer response (r2=0.54). This analysis suggests the identification of certain faulted areas along the wellbore could lead to ways of improving individual well economics by adjusting completion design in these areas.

Fracture and stress orientation from borehole image logs: A case study from Cambay basin, India

2017 ◽  
Vol 89 (5) ◽  
pp. 573-580 ◽  
Author(s):  
Rima Chatterjee ◽  
Saurabh Datta Gupta ◽  
Partha Pratim Mandal
Keyword(s):  
Cambay Basin ◽  
Stress Orientation ◽  
Borehole Image ◽  
Borehole Image Logs

Integrating borehole image logs with core: A method to enhance subsurface fracture characterization

AAPG Bulletin ◽  
2018 ◽  
Vol 102 (06) ◽  
pp. 1067-1090 ◽  
Author(s):  
F. Fernández-Ibáñez ◽  
J.M. DeGraff ◽  
F. Ibrayev
Keyword(s):  
Fracture Characterization ◽  
Borehole Image ◽  
Borehole Image Logs

scholarly journals An Integrated Approach for Formation Micro-Image Rock Typing Based on Petrography Data: A Case Study in Shallow Marine Carbonates

Geosciences ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 235
Author(s):  
Polina Kharitontseva ◽  
Andy Gardiner ◽  
Marina Tugarova ◽  
Dmitrii Chernov ◽  
Elizaveta Maksimova ◽  
...  
Keyword(s):  
Integrated Approach ◽  
Clustering Methods ◽  
Thin Sections ◽  
New Approach ◽  
Lower Carboniferous ◽  
Rock Types ◽  
Rock Typing ◽  
Borehole Image ◽  
Borehole Image Logs

Core rock-typing (RT) is commonly used for creating geologically reliable models of porous media in carbonate reservoirs. This approach is more advanced than the traditional porosity–permeability relationship and is based on the division of carbonate rocks into groups, using common classifications (lithofacies, FZI, Winland–Pittman, etc.). These clustering methods can provide either geological or petrophysical descriptions of the identified rock types. Besides, the connection of identified core rock types with standard logs could be challenging due to the different scales of measurement. This paper considers the creation of a new approach, named “integrated rock-typing,” which connects geologically and petrophysically driven rock types using borehole image logs. The methodology was applied to an Upper Devonian–Lower Carboniferous carbonate field. The workflow comprises borehole image structural/textural analysis with vug fraction identification, quantitative geological descriptions from thin sections, and petrophysical measurements. The geological section is divided into six rock types, which were controlled by sedimentary and diagenetic processes. The created Rock Type Catalogue provides clear links between rock types and log data, including wells with standard suites of logs. The results will be useful for geological modelling and validation of the future drilling strategy for the studied field.

scholarly journals Predict sandstone distribution by integrated study of deformed shale using borehole image and seismic data, a case study from northern Gulf of Mexico

2020 ◽  
Vol 5 (2) ◽  
pp. 103-111
Author(s):  
W.W. Xu ◽  
B. Winkelman ◽  
T. Wilkinson ◽  
A. Kumar ◽  
L. Chen ◽  
...  
Keyword(s):  
Gulf Of Mexico ◽  
Seismic Data ◽  
Northern Gulf Of Mexico ◽  
Borehole Image ◽  
Integrated Study
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