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Tuesday, August 4, 2020 | History

1 edition of GEOPLAY, a knowledge-based expert system: a model for exploration play analysis found in the catalog.

GEOPLAY, a knowledge-based expert system: a model for exploration play analysis

GEOPLAY, a knowledge-based expert system: a model for exploration play analysis

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Published by Dept. of the Interior in Washington .
Written in English

    Subjects:
  • Petroleum - Prospecting - Data processing

  • Edition Notes

    11

    The Physical Object
    Pagination53 p.
    Number of Pages53
    ID Numbers
    Open LibraryOL22036017M

    The part of an expert system responsible for drawing new conclusions from the current data and rules. The inference engine is a portion of the reusable part of an expert system (along with the user interface, a knowledge base editor, and an explanation system), that will work with different sets of case-specific data and knowledge bases. Z. Zhang and M. Simaan, Knowledge-Based Reasoning in SEISIS - A Rule Based System for Interpretation of Seismic Sections Based on Texture, " Chapter 6 in Expert Systems in Exploration, SEG Press, Tulsa, OK, , pp.

    An excellent textbook for upper-undergraduate and graduate students, Engineering Decision Making and Risk Management is appropriate for courses on decision analysis, decision making, and risk management within the fields of engineering design, operations research, business and management science, and industrial and systems engineering. The book. The structure of system usage is tripartite, comprising a user, system, and task, and researchers need to justify which elements of usage are most relevant for their study. In terms of function, researchers should choose measures for each element (i.e., user, system, and/or task) that tie closely to the other constructs in the researcher's.

    Today, expert systems are used in a variety of fields. Expert systems solve problems for which there are no known algorithms. 54 Summary Continued. Expert systems are knowledge-based effective for solving real-world problems. Expert systems are not suited for all applications. Future advances in expert systems will hinge on. Analysis, Design, & Evaluation of Man-Machine Systems presents an examination of the construction and application of a combined network and production systems model. It discusses the computer simulation and experimental results of a fuzzy model of driver behavior. It addresses the ergonomic aspects of working places in control rooms.


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GEOPLAY, a knowledge-based expert system: a model for exploration play analysis Download PDF EPUB FB2

"A knowledge-based expert system designed to perform as a diagnostic consultant to assist geologists to define potential petroleum plays, prospects, and reservoirs as input to an exploration play-analysis model used in the assessment of hydrocarbon resources.".

Part or all of this report is presented in Portable Document Format (PDF). For best results viewing and printing PDF documents, it is recommended that you download the documents to your computer and open them with Adobe Reader.

GEOPLAY is a knowledge-based expert system designed by the author to diagnose the geologic characteristics essential to the identification and analysis of potential plays and their prospects. Work is in progress to adapt the geologic model used by the USGS in their play analysis procedures for GEOPLAY's knowledge base.

GEOPLAY, A Knowledge-Based Expert System­ A Model for Exploration Play Analysis By Betty M. Miller ABSTRACT GEOPLA Y is a knowledge-based expert system designed to perform as a diagnostic consultant or intelligent guide to assist the geologist in the recognition, identification, and characterization of the geologic conditions used toCited by: 2.

Miller B () GEOPLAY: a knowledge-based expert system—a model for exploration play analysis. U.S. Geological Survey BulletinWashington Google Scholar Author: Nii Nortey B. Lokko, Jawad Raza, Jayantha P. Liyanage. Publisher Summary.

Module-based knowledge systems are alternative paradigms for knowledge-based system development. Based on the concept of open information systems, module-based systems consist of several smaller independently developed subsystems (or modules) those communicate and cooperate by passing messages (knowledge, data, information) during problem solving.

Knowledge-based systems, or expert systems, are computer programs embodying knowledge about a narrow domain for solving problems related to that domain.

and business model analysis. (Eleven. A classical example of a policy analysis model is a model that can be used by a policymaker to analyze the consequences of a certain change in a physical system, e.g.

adding another runway at an. Applications of AI techniques in the field of structural engineering are just starting to evolve. An expert system, aka knowledge-based system, is an 'intelligent' interactive computer program that can play the role of a human expert by using heuristic knowledge, i.e., intuition, common sense, and rules of thumb.

Knowledge engineering deals with the simulation of the exchange of ideas and the development of smart information systems in which reasoning and knowledge play an important role.

Presenting research in areas like data visualization and knowledge engineering, this book is a valuable resource for students, scholars and researchers in the field.

user or knowledge worker or decision-maker. Like a human expert, the ES advises non-experts and explains the logic behinds its conclusion (Turban et al ). Decision Support Systems (DSS) and Knowledge-based Decision Support Systems (KB-DSS) Decision support is a context-free expression.

It means different things to di fferent people. The following major models have been developed to retrieve information: the Boolean model, the Statistical model, which includes the vector space and the probabilistic retrieval model, and the Linguistic and Knowledge-based models. The first model is often referred to as the "exact match" model; the latter ones as the "best match" models.

@article{osti_, title = {A prototype knowledge-based simulation support system}, author = {Hill, T R and Roberts, S D}, abstractNote = {As a preliminary step toward the goal of an intelligent automated system for simulation modeling support, we explore the feasibility of the overall concept by generating and testing a prototypical framework.

Beynon M and Andrews R () Introduction of evidential contribution measures for the input variables used in a CaRBS based analysis, Expert Systems with Applications: An International Journal,(), Online publication date: 1-Jan Summary: Discovery Learning is a method of inquiry-based instruction, discovery learning believes that it is best for learners to discover facts and relationships for themselves.

Originator: Jerome Bruner () Keywords: Inquiry-based learning, constructivism Discovery Learning (Bruner) Discovery learning is an inquiry-based, constructivist learning theory that takes place in problem solving. Computational Statistics and Data Analysis (CSDA), an Official Publication of the network Computational and Methodological Statistics (CMStatistics) and of the International Association for Statistical Computing (IASC), is an international journal dedicated to the dissemination of methodological research and applications in the areas of computational statistics and data analysis.

A number of knowledge based expert systems have been developed in order to automate this part of the DNA analysis as much as possible, thus reducing the amount of time taken to analyse an important number of DNA profiles, e.g.

GeneMapper ID (Applied Biosystems, Foster City, CA, USA), FaSTR DNA (Power et al, ) or FSS-i3 (The Forensic Science.

Expert systems, also called knowledge‐based systems, rule‐based systems, or production systems, are computer programs that mimic the problem‐solving of humans with expertise in a given domain. 23, 24 Expert problem‐solving typically involves large amounts of specialized knowledge, called domain knowledge, often in the form of rules of.

Diagnostic expert systems: Encoding geological knowledge for an exploration play analysis Conference Miller, B.M. - AAPG Bulletin (American Association of Petroleum Geologists); (United States) The U.S. Geological Survey is currently exploring the feasibility of applying diagnostic expert systems and knowledge-based acquisition techniques to.

Theoretical analysis and exploration of possible intelligent systems. to play the imitation game. Although modern § Knowledge-based Systems / Expert Systems § -Logic Driven. B Intelligent Systems Semester 1, Week 1 Lecture Notes page 8 of 8.

Expertise Transfer and Complex Problems: Using AQUINAS as a Knowledge Acquisition Workbench for Knowledge-Based Systems, John H. Boose and Jeffrey M.

Bradshaw,International Journal of Man-Machine Studies, Vol. 26, No Acquiring knowledge from a human expert is a major problem when building a knowledge-based system.

The full scope of knowledge management (KM) is not something that is universally accepted. However, before one looks at the differences in the definitions, let's the similarities.

KM is about making the right knowledge available to the right people.Hence, the system contains a practice environment; an expert system, in that the system knows how to play the game; a simple student model; and a pedagogy system, in its ability to monitor students' “understanding ” of the game and deliver feedback selectively on the basis of the student's moves.