... and better decision-making [ 3 ] artificial intelligence knowledge management innovation training program natural language digital dexterity efficiency platform employee deep learning machine learning digital dexterity initiative citizen developer data mining digital transformation...

... of the specific process. Thus, data analysis must be augmented with significant inputs from experts. Causal Inference provides a conceptual framework and tools for doing such analysis. Introduction deep learning machine learning alarm rate artificial intelligence llm information natural language...

... implementation throughout organizations. Recent, introduction of generative AI into this technology provides personalized learning experience based on employee’s domain expertise. machine learning natural language no-code ai technology prediction ai solution rate 1 no-code ai tool artificial...

... inconsistency that is usually overlooked in the traditional review process. A faster review process achieved through common understanding between reviewers, resulting in a subjective time reduction (average 10% improvement) while enhancing quality. Our method leverages advanced natural language...

... technology and operator companies in the oil and gas industry, which ensures the novelty of this paper and the foreseen benefits of publishing it to the community. artificial intelligence deep learning natural language large language model modeling & simulation machine learning reservoir...

... attracted increasing research attention. Large language models are deep learning models designed to understand and generate natural language. They are characterized by their large size, including a large number of parameters and large training datasets, and their excellent learning ability ( Chen et al...

... management, benefiting all stakeholders involved. deep learning natural language artificial intelligence chatbot information application strategic planning and management machine learning streamlit application project exhibit document oil & gas industry retrieval dataiku project...

... machines (SVM). geologist lithology structural geology rock type drilling data acquisition machine learning drilling operation artificial intelligence mudstone clastic rock mudrock natural language reservoir characterization sedimentary rock deep learning chatbot drilling measurement...

... cleansing, data validation, log mining and analysis through natural language processing such as conversational AI assistants powered by large language model (LLM) in the Cloud. big data artificial intelligence data mining natural language architecture customer machine learning operation cloud...

... a more efficient and accurate alternative to traditional manual review methods. By integrating natural language processing algorithms, generative AI models, and advanced reliability assessment techniques, the proposed methodology transforms raw data into actionable insights with enhanced pace...

...) through natural language interfaces, while executing complex commands and analyses on multi-modal data, including seismic volumes in SEG-Y format, through integration with 3D visualization software APIs. application geologist artificial intelligence geology geological subdiscipline machine...

... complex reservoir systems. simulation deep learning machine learning artificial intelligence reservoir management engineer computational efficiency decision-making experimental data generative ai model ar interface natural language efficiency accuracy pore-scale fluid flow...

... logging core analysis sedimentary rock sedimentology sedimentary geology log analysis geological subdiscipline tidal flat environment text classification stratigraphy arab formation depositional environment formation geologist rock type artificial intelligence natural language reservoir...

... language. These models are built upon deep learning architectures, particularly transformer architectures, and are trained on vast amounts of text data from the internet. They have the capability to perform a wide range of natural language processing (NLP) tasks, such as text generation, translation...

... drilling operations, leveraging the present condition of wells. drilling operation machine learning artificial intelligence large language model deep learning accuracy llm ddr extraction traditional method classification information text data natural language dataset data augmentation...

... of the most common applications nowadays in different industries and in usual life is capability to create new content in response to natural language requests. This capability of generative AI is in high demand currently in oil and gas drilling industry as it allows users to communicate to the database...

... intelligence approach 2 fraudulent activity natural language statement fraud oil and petroleum industry ieee transaction machine learning image hashing and vector database effectiveness dataset oil and petroleum sector financial statement fraud approach 1 Introduction Financial statement...

.... To assess the workforce and identify suitable redeployment opportunities, the tool employs a range of analytical techniques. Machine learning algorithms analyze historical data to predict future workforce needs and identify potential skills mismatches. Natural language processing (NLP) is used to interpret...

... operational efficiency ship management route optimization optimization maritime sector ai technology natural language available application adoption decision-making Introduction The maritime industry, a cornerstone of global trade, is poised for a transformative leap driven by the rapid...

... (LLMs) and information retrieval methods to translate natural language descriptions of failures into structured insights. A comprehensive knowledge base, populated with operational log data and expert- validated solutions, empowers the LLM to perform in-context learning and iterative diagnosis...