Petroleum work at AIAI

    AIAI has made significant contributions to the application of artificial intelligence in the petroleum industry.

    These include:

    • EGRESS, in which we have modelled the decisions taken by people in emergency situations on offshore platforms. This is believed to be the first time that such factors have been taken into consideration in safety analysis models.
      Built for Exxon, Shell, Texaco, the Health and Safety Executive and AEA Technology
    • SDBA, in which we have built a mediator between data bases and the user. SDBA is based on a model of the user's application domain and uses terms and concepts of that model to communicate with the user. Navigating the data base is through the domain model rather than the data model. In addition, the system provides a fuzzy matching capability allowing imprecise queries to be formulated.
      Built for Amoco, Conoco and Simon Petroleum
    • SPIRIT, in which we helped to improve the quality of well test interpretation in two ways:
      • by identifying all the possible interpretations of a test curve, given a library of reference curves and given the possibility of masked or missing data
      • by using a belief network to merge the ambiguous results from the pressure test with information from several other sources: seismic, petrophysical, geological and engineering.
      Built for Enterprise, Shell, Amoco, Bow Valley, Elf-Enterprise and the Petroleum Science and Technology Institute (PSTI)
    • A directional drilling demonstration program, which monitors and advises on the selection of downhole equipment.
      Built for Hitachi Europe Ltd


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