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Exploratory Simulation Drilling Environment Design Based on Interactive Data Generation Method

Published: 07 March 2020 Publication History

Abstract

As one of the cutting-edge drilling technologies developed in recent years, intelligent guided drilling technology addresses the problems of drilling complex structural wells and ultra-deep wells under complex geological conditions. In order to provide a simulation environment for intelligent drilling algorithms to meet the actual drilling work, reasonable and reliable 3D geological modeling and visualization work is essential. However, in current geological modeling and visualization work, there are various problems such as insufficient modeling data, poor interaction with agents and lack of exploratory. In view of the above problems, this paper designs an intelligent guided drilling algorithm interactive system that can dynamically generate simulation data based on a small number of geological data samples and construct a three-dimensional geological environment in real time. We propose an interactive data generation mechanism, which can quickly generate simulated LWD (log while drilling) data within the detectable range according to the real-time position of drill bit, and provides a basis for real-time decision making of the intelligent guided drill model. At the same time, the system refers to the uncertainty of the actual formation distribution and adds some randomness in the process of simulating stratigraphic sections. Therefore, based on cross-sectional stacking method combined with the characteristics of intelligent guided drilling algorithms, the 3D geological model of drilling environment can be dynamically constructed during the real-time guiding process. Moreover, exploratory environment modeling method can provide a low-cost, versatile simulation test platform for intelligent guided drilling algorithms.

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    ICSCC '19: Proceedings of the 2019 5th International Conference on Systems, Control and Communications
    December 2019
    99 pages
    ISBN:9781450372640
    DOI:10.1145/3377458
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    • Wuhan Univ.: Wuhan University, China

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    Published: 07 March 2020

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    Author Tags

    1. 3D Visual modeling
    2. DCGAN model
    3. Geology modeling
    4. Intelligent drilling algorithm
    5. Interactive data generation

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