Saudi Arabian Oil Company

Fahad Muhammed Al-Meshal

Nasser Mubarak Al-Hajri

Saud A Al-Shuwaier

Abiola S Onikoyi

Said Rifat

Abdullah Abdulaziz AlGhamdi

Mohammed J Shakhs

A system for validating a flow rate of a water injection well includes a first data source providing operating data associated with the well, a data repository, a digital model of the well, a second data source, and a processor. The processor is configured to obtain operating data, including a measured flow rate, historical data, and the digital model, determine a modelled flow rate using the digital model based on the historical injection data and the operating data, compare the measured flow rate with the modelled flow rate to determine a delta, receive a second measured flow rate from the second data source, compare the second measured flow rate to the modelled flow rate to determine a second delta, and in response to determining that the second delta does not exceed the threshold value, automatically generate a request for remediation of the first data source.

Systems and methods for flow rate validation in a well system

Methods for prediction and inhibition of calcium carbonate scale in hydrocarbon wells using machine learning include extracting training data including parameters from aqueous samples. Each aqueous sample is collected from a respective hydrocarbon well. The training data is classified in accordance with hydrocarbon production conditions of each hydrocarbon well. The classified training data is labeled in accordance with whether calcium carbonate scale has formed in each aqueous sample within a particular time period. A feature vector is determined from the labeled training data based on the parameters extracted from each aqueous sample. The feature vector is indicative of whether the respective hydrocarbon well contains calcium carbonate scale. A trained machine learning model is generated, wherein the machine learning model is trained based on the feature vector, to predict a number of the hydrocarbon wells containing calcium carbonate scale within the particular time period.

Calcium carbonate scale prediction and inhibition in hydrocarbon wells using machine learning

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Khobar, Saudi Arabia

Fahad Muhammed Al-Meshal