New Approach to Drilling and Completing Horizontal Wells in Extremely Shallow and Unconsolidated Sandstone Reservoirs

2009 ◽  
Author(s):  
Shahryar Saebi ◽  
Timo W. Staal ◽  
Graeme Dawson ◽  
Dennis Miguel ◽  
Robert Ooms ◽  
...  
Keyword(s):  
Horizontal Wells ◽  
New Approach ◽  
Sandstone Reservoirs

A New Approach for Optimization of Long Horizontal Wells’ Performances

2015 ◽  
Author(s):  
Abdullah Al Qahtani ◽  
Hasan Al Hashim ◽  
Hasan Al Yousef
Keyword(s):  
Horizontal Wells ◽  
New Approach

Research of actual information on well casing using machine learning and neural networks

2021 ◽  
pp. 108-119
Author(s):  
D. V. Shalyapin ◽  
D. L. Bakirov ◽  
M. M. Fattahov ◽  
A. D. Shalyapina ◽  
V. G. Kuznetsov
Keyword(s):  
Machine Learning ◽  
Probabilistic Models ◽  
Western Siberia ◽  
Network Modeling ◽  
Horizontal Wells ◽  
Categorical Variables ◽  
Neural Network Modeling ◽  
New Approach ◽  
Attachment Process

In domestic and world practice, despite the measures applied and developed to improve the quality of well casing, there is a problem of leaky structures in almost 50 % of completed wells. The study of actual data using classical methods of statistical analysis (regression and variance analyses) doesn't allow us to model the process with sufficient accuracy that requires the development of a new approach to the study of the attachment process. It is proposed to use the methods of machine learning and neural network modeling to identify the most important parameters and their synergistic impact on the target variables that affect the quality of well casing. The formulas necessary for translating the numerical values of the results of acoustic and gamma-gamma cementometry into categorical variables to improve the quality of probabilistic models are determined. A database consisting of 93 parameters for 934 wells of fields located in Western Siberia has been formed. The analysis of fastening of production columns of horizontal wells of four stratigraphic arches is carried out, the most weighty variables and regularities of their influence on target indicators are established. Recommendations are formulated to improve the quality of well casing by correcting the effects of acoustic and gamma-gamma logging on the results.

A New Approach To Estimating Ultimate Recovery for Multistage Hydraulically Fractured Horizontal Wells by Utilizing Completion Parameters Using Machine Learning

2021 ◽  
pp. 1-16
Author(s):  
Sulaiman A. Alarifi ◽  
Jennifer Miskimins
Keyword(s):  
Oil And Gas ◽  
Horizontal Wells ◽  
Oil And Gas Industry ◽  
Gas Industry ◽  
New Approach ◽  
History Data ◽  
Well Completion ◽  
Production History ◽  
Early Production ◽  
Fractured Horizontal Wells

Summary Reserves estimation is an essential part of developing any reservoir. Predicting the long-term production performance and estimated ultimate recovery (EUR) in unconventional wells has always been a challenge. Developing a reliable and accurate production forecast in the oil and gas industry is mandatory because it plays a crucial part in decision-making. Several methods are used to estimate EUR in the oil and gas industry, and each has its advantages and limitations. Decline curve analysis (DCA) is a traditional reserves estimation technique that is widely used to estimate EUR in conventional reservoirs. However, when it comes to unconventional reservoirs, traditional methods are frequently unreliable for predicting production trends for low-permeability plays. In recent years, many approaches have been developed to accommodate the high complexity of unconventional plays and establish reliable estimates of reserves. This paper provides a methodology to predict EUR for multistage hydraulically fractured horizontal wells that outperforms many current methods, incorporates completion data, and overcomes some of the limitations of using DCA or other traditional methods to forecast production. This new approach is introduced to predict EUR for multistage hydraulically fractured horizontal wells and is presented as a workflow consisting of production history matching and forecasting using DCA combined with artificial neural network (ANN) predictive models. The developed workflow combines production history data, forecasting using DCA models and completion data to enhance EUR predictions. The predictive models use ANN techniques to predict EUR given short early production history data (3 months to 2 years). The new approach was developed and tested using actual production and completion data from 989 multistage hydraulically fractured horizontal wells from four different formations. Sixteen models were developed (four models for each formation) varying in terms of input parameters, structure, and the production history data period it requires. The developed models showed high accuracy (correlation coefficients of 0.85 to 0.99) in predicting EUR given only 3 months to 2 years of production data. The developed models use production forecasts from different DCA models along with well completion data to improve EUR predictions. Using completion parameters in predicting EUR along with the typical DCA is a major addition provided by this study. The end product of this work is a comprehensive workflow to predict EUR that can be implemented in different formations by using well completion data along with early production history data.

Integration of Production, Pressure Transient and Borehole Images in Horizontal Wells Drilled in Cambrian Sandstone Reservoirs of Hassi Messaoud Field, Algeria

2009 ◽  
Author(s):  
Taofeek Ogunyemi ◽  
Philippe Jean Montaggioni ◽  
Atmane Azzouguen ◽  
Mourad Kourta ◽  
Said Kodja ◽  
...  
Keyword(s):  
Horizontal Wells ◽  
Pressure Transient ◽  
Sandstone Reservoirs

New Approach. Dual Casing Design For Horizontal Wells (Russian)

2017 ◽  
Author(s):  
N. Bravkova ◽  
A. Truba ◽  
A. Sandutsa ◽  
D. Zadvornov ◽  
O. Grachev ◽  
...  
Keyword(s):  
Horizontal Wells ◽  
New Approach

HORIZONTAL DRILLING, A NEW PRODUCTION METHOD

1988 ◽  
Vol 28 (1) ◽  
pp. 41
Author(s):  
Jacques Bosio
Keyword(s):  
World Wide ◽  
Horizontal Wells ◽  
Production Method ◽  
New Production ◽  
Horizontal Drilling ◽  
New Approach ◽  
Flow Geometry ◽  
The Future ◽  
Deviated Wells

Vertical or deviated wells cross a production formation for only short distances. Horizontal wells, however, are capable of remaining within a reservoir for distances up to several hundred metres in an effort to enhance production possibilities.A world-wide coverage of the method will be presented, with the latest information on drilling, logging, completion and costs.Application of horizontal wells will be described with an emphasis on the production results recently obtained and, more particularly, on the Rospo Mare field, offshore, in the Adriatic Sea.Horizontal wells are providing a new approach to the flow geometry within a production formation. There is no doubt that they will be used more and more in the future to optimise the drainage of most reservoirs.

scholarly journals A new approach to estimating recovery factor for extra-low permeability water-flooding sandstone reservoirs

2014 ◽  
Vol 41 (3) ◽  
pp. 377-386 ◽  
Author(s):  
Zixue YUAN ◽  
Jingyun WANG ◽  
Shuxun LI ◽  
Jihong REN ◽  
Mingqing ZHOU
Keyword(s):  
Recovery Factor ◽  
Water Flooding ◽  
Low Permeability ◽  
New Approach ◽  
Sandstone Reservoirs
Sign in / Sign up

Export Citation Format

Share Document