

Schlumberger is an equal employment opportunity employer. Passionate in programming and learning new programming skills Strong problem-solving skills and technical judgment
#Techlog interpretation software
You will have the responsibilities to design, build, maintain and support the New API of the property editor, see the migration impact on the existing code and migrate it.Īs a Software Engineer, you will work in an autonomous manner, supported by technical experts and a product owner. The property editor is one of the key stones of Techlog. The actual one have some refresh issue causing the software crashes. The goal of the internship is to implement and use new APIs for a new property editor in Techlog. You will be in charge of new development and evolution of Techlog: the leader logs interpretation software in the market. If you share our passion for discovery and want to find out what you could really do, then here is the place to do it. We’re looking for innovators to join our diverse community of colleagues and develop new solutions and push the limits of what’s possible. We define the boundaries of the industry by unleashing our talented people’s energy. Throughout much of the oil and gas lifecycle in over 120 countries we design, develop, and deliver technology and services that transforms how work is done. We are Schlumberger, the leading provider of technology and services to the energy industry. Software Engineer Intern - Techlog property editor rejuvenation (5-6 months) The Journal of Interpretation Research is published by the National Association for Interpretation, the preeminent. So, this is how you can perform a Fisher’s exact test in R and interpret the result.Software Engineer Intern - Techlog property editor rejuvenation (5-6 months) Montpellier - France The purposes of the Journal of Interpretation Research are to communicate original empirical research dealing with interpretation and to provide a forum for scholarly discourse about issues facing the profession of interpretation. Hence, we reject the null hypothesis and accept the alternative hypothesis.

> fisher.test(Arthritis$Treatment,Arthritis$Improved)ĭata: Arthritis$Treatment and Arthritis$Improvedįrom the result of fisher.test(Arthritis$Treatment,Arthritis$Improved), there appears to be a relationship between treatment received and level of improvement, We come to this conclusion because the p-value is less than 0.01. Then use the following code to performs Fisher’s exact test in R for two different sets of variables and to understand when to accept and when to reject the hypothesis.
#Techlog interpretation install
To install vcd package use the command install.packages("vcd"). Null hypothesis – Assumes that there is no association between the two variables.Īlternative hypothesis – Assumes that there is an association between the two variables.
#Techlog interpretation how to
Also, we will see how to interpret the results.

You can always import data into R using CSV, Excel or SPSS data file. I will show an example with builtin data on vcd package. Schlumberger 1 an 2 mois Techlog Workflow Advisor Schlumberger.

Looking for next challenge Unattached juil. The function fisher.test() is used to perform this operation. Borehole image interpretation and integration. The test is useful for categorical data to examine the significance of the association (contingency) between the two kinds of classification. This article shows you about Fisher’s exact test in R and how to interpret the results.įisher’s exact test is named after its inventor, Ronald Fisher, and is one of a class of exact tests, so-called because the significance of the deviation from a null hypothesis (e.g., P-value) can be calculated exactly, rather than relying on an approximation that becomes exact in the limit as the sample size grows to infinity, as with many statistical tests. In my tutorial, I will show three tests such as the chi-square test of independence, the Fisher exact test, and the Cochran-Mantel–Haenszel test. R provides several methods of testing the independence of the categorical variables. This page is for those who love, study and work on oil field engineering especially geologists and petrophysicists.
