Artificial Intelligence in the Oil Industry Knowledge Based Systems, Neural Networks, Fuzzy Logic

Most of the articles gathered in this special issue make up an extension of the papers presented during the first EuroCAIPEP European Conference on Artificial Intelligence in Petroleum Exploration and Production which was held in October 1991.

  Contents: Handling uncertainty in accessing petroleum exploration data. XPROS: a fuzzy expert system for prospect appraisal. The ODDA system: integration of conventional programming and artificial intelligence. CASCADE: a knowledge-based system supporting shoe depths selection and casing design. WELBORIX, a novel approach towards user-interface technology in well-performance simulation. Preselecting well test interpretation models using external data. Petroleum applications: how do we realise the potential? ALEXIP: an expert system coupled with a dynamic simulator for the supervision of the alphabutol process. Neural networks and their applications for the oil industry. Automated trace editing and refraction event picking using neural networks. Spikes filtering with neural networks: a two-stage detection system. Data compression of seismic images by neural networks. Putting knowledge-based systems technology to work.

Envoyer à un(e) ami(e)

Donner votre avis

Ajouter au panier d'ouvrage