Estimated rate of penetration using artificial neural networks and optimize drilling parameters in directional wells in Ahvaz field
Journal Title: Journal of Science and today’s world - Year 2013, Vol 2, Issue 1
Abstract
To further speed up the drilling operations and thus further reducing costs and lower risk operations, we can simulate and predict the conditions to achieve desired results. For this to work with programming and According to data from directional wells drilled in Ahvaz field, can to reached Optimum value for drilling in this field. With The modeling of well conditions and Drilling parameters as for Existing wells in this field, we will find the identical and reliable and functional model. Many factors are effective in rate of penetration. Neural network modeling for the relationship between these variables is very important and many help to optimization the process. In this paper, Using Bourgoyne and Young's equation explains the relationship between these variables. The first step in the application of neural networks made model at the starting drilling point of well. Neural network data can be divided into three parts. 70% of data for network training and 15% of the data for the network Validation and 15% of the data for network sensitivity analysis has been assigned. The percentage error in the calculations must reach down. Because the Studies with the optimal values should be to reduce, the risk and acceleration of drilling process. Cycle process are includes approximately 2-4 million estimate for each analysis. All of these processes are repeated for Establish a relationship between variables and graphs.
Authors and Affiliations
Naser Akhlaghi, atemeh Rezaei, Nima Akhlaghi
Assessment of credit risk and liquidity risk and the relationship between them (Case study: Agriculture Bank branches in East Azerbaijan Province)
Introduction: in finance literature, risk can be defined as unexpected events that often change the value of assets or liabilities. This study aimed to assess and examine the relationship between liquidity risk and cre...
Factors affecting theft among single-parent youths in Kerman
The present study was conducted with the aim of investigating factors affecting theft among youths in single-parent families. The data were collected using a survey method through a self-report questionnaire that was d...
The determination of the motivational potential of financial jobs using the model of the job characteristics and the demographic characteristics of the financial staff in Guilan University of Medical Sciences
Objective: The determination of the motivational potential of financial jobs using the model of the job characteristics and the demographic characteristics of the financial staff in Guilan University of Medical Science...
The relationship between organizational justice and job motivation with human resource productivity among Saadat Shahr school teachers in the academic year 2016-2017
The purpose of this study was to investigate the relationship between organizational justice and job motivation with human resource productivity among teachers of Saadat Shahr schools in the academic years 2016-2017. T...
A study of the performance of investment funds in Iran based on Jensen’s criterion
In this study, the regulated procedure based on risk of portfolio performance (Jensen’s Alpha) has been adopted and it estimates how much the manager’s forecasting power results in fund’s profit. This procedure is based...