Automated well test validation

A method of detecting an abnormal well test in a well test system comprising a plurality of wells in a field, comprising:

• receiving a well test data from the well test system;
• segmenting the well test data into a purge period and a test period, wherein the purge period comprises information indicating oil, water, or both leaving a multiphase separator in the well test system, and wherein the test period comprises information indicating oil, water, or both entering the multiphase separator;
• calculating a first water cut from the test period well test data, wherein the first water cut is representative of a ratio of water to oil entering the multiphase separator;
• calculating a second water cut from the test period well test data, wherein the second water cut is representative of a ratio of water to oil leaving the multiphase separator;
• comparing the first water cut, the second water cut, the liquid rate, or a combination thereof to a predetermined value, wherein the predetermined value comprises an expected estimation value that is specific to each well in the field;
• detecting the abnormal well test based on the comparison;
• identify a root cause for the abnormal well test;
• identify a corrective course of action;
• and output an alert to an operator of the abnormal well test, the root cause, the corrective course of action, or a combination thereof.

A well test system, comprising:

• a remotely operated valve associated with a field comprising a one or more wells;
• a multiphase separator configured for well testing the one or more wells;
• at least one sensor coupled to the multiphase separator;
• a communications infrastructure configured to provide communications from the sensor to the diagnostic system;
• a diagnostic system comprising:
• at least one processor;
• and a memory coupled to the at least one processor, wherein the memory comprises instructions that when executed by the at least one processor are configured to:
• obtain well test data from the at least one sensor;
• segment the well test data in order to identify data corresponding to specific portions of the well test, wherein the specific portions of the well test data comprise one or more of purge period data, test period data, and filling- dumping cycle data;
• extract one or more features from the well test data, wherein the one or more features comprise quality assurance data, filling-dumping cycle identification data, water cut data, flow rate change data, expected flow rate data, test duration data, and combinations thereof;
• calculate a first water cut from the well test data, wherein the first water cut comprises a ratio of water to oil entering the multiphase separator;
• calculate a second water cut from the well test data, wherein the second water cut is representative of a ratio of water to oil leaving the multiphase separator;
• compare the first water cut, the second water cut, and the one or more features to one or more decision rules stored in the memory, wherein the one or more decision rules contain threshold conditions for detecting abnormal well test results;
• identify the well test data as an abnormal well test result based at least in part on the comparison;
• and output an indication of the abnormal well test result.