Automated oil well test classification

Abstract

The subject mater herein relates to oil well testing and, more particularly, automated oil well test classification. Various embodiments described herein provide systems, methods, and software for statistical analysis and classification of oil well tests. Some embodiments include receiving a first set of oil well test results from one or more measurement devices of a well test separator, storing the first set of oil well test results in a database, and annotating one or more tests of the first set oil well test results. The annotated test results are then used to build one or more classification models to enable automated oil well test classification as new oil well tests are performed.

Description

TECHNICAL FIELD[0001]The subject mater herein relates to oil well testing and, more particularly, automated oil well test classification.BACKGROUND INFORMATION[0002]Testing of oil wells, which are located in one production facility, generates a stream of measurements that are taken continually on well test separator equipment and associated piping system. If efficiently processed, this data stream can indicate specific operational issues, such as faults, influences between adjacent wells, and changing reservoir conditions. Wells of a given production facility are tested in a closed sequence and each test takes a specified time interval. Usually, there are multiple relevant characteristics that must be taken into account. Primarily, the test-internal time series sampled during the specified time interval characterize the test itself. The representative statistical characteristics should also be compared with the long-term production trends on a given well. There are also faults—such ...

AI Technical Summary

Benefits of technology

The patent text describes a system and method for analyzing oil well tests and detecting abnormalities in a more efficient and automated way. The system includes a repository of historical well tests with annotated data, classification models that compare new tests with the historical tests, and logic that combines the results of the classification models to provide an indication of abnormality to an operator. The system can also include a computer-readable media device and hardware components to perform the analysis. The technical effects of the patent text include improved efficiency and accuracy in identifying abnormalities in oil well tests, as well as a reduction in the time and effort required for analysis.

Problems solved by technology

There are also faults—such as when oil is being dumped out the water leg—that introduce specific features into the data stream.

In general, the analysis of the well test data stream is a complex task and is primarily performed manually.

Given the number of wells in a typical production facility, it is difficult to perform the analysis efficiently and in a timely manner.

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