Abstract: A method can include receiving remarks associated with one or more field operations; processing the remarks for event detection using a dependency matcher and a machine learning model, where, responsive to the dependency matcher failing to detect an event, the processing implements the machine learning model to detect the event; and outputting at least the detected event.

Abstract: Systems and methods of the present disclosure provide systems and methods related to obtaining, at one or more neural networks, log data from a wellbore and generating, using a multi-head attention layer of the one or more neural networks, a zone of interest based on probability-based weights applied to the log data. The one or more neural networks analyze the log data to infer a downhole characteristic and output an indication of an inference of the downhole characteristic and the zone of interest. Then, a computing system performs an action based at least in part on indication of the inference.

Abstract: Systems and methods for providing a cross-lingual PDF analysis and translation system specifically designed for the energy industry. The cross-lingual PDF analysis and translation system uses various methods (e.g., tag-based or paragraph-based document extraction and mixing) to create a cross-lingual mixed document dataset by modifying HTML files from multilingual web pages. The cross-lingual mixed document dataset is used to retrain a LayoutXLM model, enabling the LayoutXLM model to further build cross-lingual relations by evaluating the model on various form understanding benchmarks.

Abstract: A method may include receiving data from field equipment during performance of a liner hanger job at a wellsite; generating an inference as to an occurrence of an event associated with the performance of the liner hanger job based on at least a portion of the data using one or more machine learning models; and controlling the performance of the liner hanger job based at least in part on the inference.

Abstract: Systems and methods of the present disclosure provide a bidding proposal system for bidding proposal preparation. The bidding proposal system includes an artificial intelligence (AI)-assisted system, which generates a predicted bidding proposal based on a received request. In the system, a natural language processing technique is applied to automatically generate potential answers to the questions asked by the purchaser. The systems and methods described herein enable a computing system to understand natural language of a user by identifying the user intent and providing information to generate an answer based on the user intent.

Abstract: The disclosure relates to a method for flagging at least an event of interest in an unlabeled time series of a parameter relative to a wellsite (including to the well, formation or a wellsite equipment), wherein the time series of the parameter is a signal of the parameter as a function of time. The disclosure also relates to a method for evaluation a downhole operation such as a pressure test using a pressure time series. Such methods comprises collecting a time series, extracting at least an unlabeled subsequence of predetermined duration in the time series, and assigning an event of interest a label, in particular representative of the status of the downhole operation, to at least one of the unlabeled subsequences. A command may be sent to a wellsite operating system based on assigned label.

Abstract: The disclosure relates to a method for flagging at least an event of interest in an unlabeled time series of a parameter relative to a wellsite (including to the well, formation or a wellsite equipment), wherein the time series of the parameter is a signal of the parameter as a function of time. The disclosure also relates to a method for evaluation a downhole operation such as a pressure test using a pressure time series. Such methods comprises collecting a time series, extracting at least an unlabeled subsequence of predetermined duration in the time series, and assigning an event of interest a label, in particular representative of the status of the downhole operation, to at least one of the unlabeled subsequences. A command may be sent to a wellsite operating system based on assigned label.