Development of methods for automation of multi-well logging data interpretation and core analysis

Author(s):  
L.R. Minikeeva ◽  
◽  
O.V. Nadegdin ◽  
E.R. Nugumanov ◽  
A.V. Markov ◽  
...  
2021 ◽  
Author(s):  
Ruslan Rubikovich Urazov ◽  
Alfred Yadgarovich Davletbaev ◽  
Alexey Igorevich Sinitskiy ◽  
Ilnur Anifovich Zarafutdinov ◽  
Artur Khamitovich Nuriev ◽  
...  

Abstract This research presents a modified approach to the data interpretation of Rate Transient Analysis (RTA) in hydraulically fractured horizontal well. The results of testing of data interpretation technique taking account of the flow allocation in the borehole according to the well logging and to the injection tests outcomes while carrying out hydraulic fracturing are given. In the course of the interpretation of the field data the parameters of each fracture of hydraulic fracturing were selected with control for results of well logging (WL) by defining the fluid influx in the borehole.


2014 ◽  
Author(s):  
N.S. Balushkina ◽  
G.A. Kalmykov ◽  
R.A. Khamidullin ◽  
V.S. Belokhin ◽  
N.I. Korobova ◽  
...  

2018 ◽  
Author(s):  
Rais Khisamov ◽  
Natalya Skibitskaya ◽  
Kazimir Kovalenko ◽  
Venera Bazarevskaya ◽  
Nikita Samokhvalov ◽  
...  

2014 ◽  
Vol 490-491 ◽  
pp. 468-472
Author(s):  
Ke Zeng ◽  
Zheng Zhou ◽  
Mei Ling Zhang

Based on the Putaohua groups in Yushulin oil field, and through the statiscics and analyses, weve found that the reservoir property of this area is in the range of specially low permeability level. So due to the low porosity and permeability, its necessary to do some reaearch on the parameters calculation method.This papers analysed the relationships between the physical property parameters such as porosity, permeability, shale content and the well logging responses such as AC, SP, GR, then we built the distribution rules histograms of each physical property parameter. And we got the distribution situations of the parameters of the oil groups. Through the multiple regression, we built the relationship formulas between the reservoir property parameters and the well logging responses by using the core analysis data of 53 test wells. Afetr comparing the parameters of calculation and the core analysis data, we found that the deviation is small, which meets the production requires of oil field.


2021 ◽  
Author(s):  
Alexander Vadimovich Akinshin ◽  
Mikhail Vladimirovich Dmitrievskiy ◽  
Yuliy Dmitrievich Kantemirov ◽  
Kirill Dmitrievich Bobylev

Abstract Nowadays, digitalization and automation are a common trend for many companies of various areas including the oil and gas production industry. Processes of initial data preliminary analysis (unification, merging, depth shifting) and petrophysical preparation for calculations (lithology differentiation, averaging, measurements calculation etc.) in the framework of geophysical well logging (GWL) data interpretation take a significant amount of time. Incorporation of automation algorithms tuned for specific sediments enables to considerably reduce labour effort what increases the time needed for the analytical part of the interpretation. The developed approach is an integrated algorithm which helps to perform preliminary preparation and interpretation of GWL data in the framework of integrated adjustable process with minimum participation of the interpreter in routine operations. The features of the virtual assistant are coded in Python.


2022 ◽  
Author(s):  
Mikhail Klimov ◽  
Rinat Ramazanov ◽  
Nadir Husein ◽  
Vishwajit Upadhye ◽  
Albina Drobot ◽  
...  

Abstract The proportion of hard-to-recover reserves is currently increasing and reached more than 65% of total conventional hydrocarbon reserves. This results in an increasing number of horizontal wells put into operation. When evaluating the resource recovery efficiency in horizontal wells, and, consequently, the effectiveness of the development of gas condensate field, the key task is to evaluate the well productivity. To accomplish this task, it is necessary to obtain the reservoir fluid production profile for each interval. Conventional well logging methods with proven efficiency in vertical wells, in case of horizontal wells, will require costly asset-heavy applications such as coiled tubing, downhole tractors conveying well logging tools, and Y-tool bypass systems if pump is used. In addition, the logging data interpretation in the case of horizontal wells is less reliable due to the multiphase flow and variations of the fluid flow rate. The fluorescent-based nanomaterial production profiling surveillance technology can be used as a viable solution to this problem, which enables cheaper and more effective means of the development of hard-to-recover reserves. This technology assumes that tracers are placed downhole in various forms, such as marker tapes for lower completions, markers in the polymer coating of the proppant used for multi-stage hydraulic fracturing, and markers placed as fluid in fracturing fluid during hydraulic fracturing or acid stimulation during bottom-hole treatment. The fundamental difference between nanomaterial tracers production profiling and traditional logging methods is that the former offers the possibility to monitor the production at frac ports in the well for a long period of time with far less equipment and manpower, reduced costs, and improved HSE.


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