Advanced Oil and Gas Sampling and Product Quality

This is a course introducing the participants to the basic principles of sampling. This program includes the steps to be undertaken in conducting sample surveys, theoretical discussion, on the different sampling designs (simple random sampling, and multi-staged cluster sampling in oil and gas field) besides estimation procedures using the various designs, sample size estimation as well as variance reduction techniques.

Audience

This course is intended for:

Lab chemists
Lab technicians
Operators
Junior engineers

Course objectives

This course is concerned with the design of sample surveys and the statistical analysis of data collected from such surveys. Topics covered are: experiments and surveys, steps in planning a survey; randomization approach to sampling and estimation, sampling distribution of estimator, expected values, variances, generalization of probability sampling; prediction approach, inadequacies of approach, decomposition of population total, concomitant variables; regression through the origin, estimation by least squares, ratio estimation, variance formulae; balance and robustness; best fit sample; stratified sampling, estimation, allocation, construction of strata, stratification on size variables, post-stratification; two-stage sampling, estimation, allocation, cluster sampling.

Course contents

Day-1

Pretest

Sampling scheme
Sampling frame
Target Population
Sampling Unit
Sample size qualitative and quantitative
Probability samples (simple, systematic, stratified, multistage and cluster sampling)
Non probability samples ( convenience, quota, snowball and judgmental sampling)
Errors in sampling (systematic error and random error)
Data analysis
Probability distribution
Hypothesis testing
Regression

Day-2

Administrative needs for iso 17025
Technical needs for iso 17025
Quality evidence
Lab accreditation
Accreditation authorities
Results assessment
ISO 17025

Day-3

Sampling safety requirement

PPE
PTW
Hazardous oil and gas sampling
Safe operating procedures
Shipping composite samples
Risk rating related to sampling
Storage, handling and samples preservations

Day-4

Principles of statistics

Mean
Variation
Standard deviation
Coefficient of variation
Probability distribution

Day-5

Sampling statistical calculations

Z-score
Bias
Repeatability
Reproducibility
Uncertainty definition
Measurement and reporting of uncertainty
Benefits of uncertainty estimation
Quality system
Quality control samples
Quality of test results
Internal and external quality control
Control charts

Posttest

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