Real-time logging data acquisition and synchronous early-warning method

Abstract

The invention discloses a real-time logging data acquisition and synchronous early-warning method, comprising the following steps: configuring data acquisition modules in well sites, configuring basic information of the well sites, and establishing an early-warning model; acquiring the real-time data of the well sites, and analyzing and formatting the real-time data; classifying and carrying out statistics on the real-time data according to the early-warning model for carrying out comprehensive analysis and judgment and early warning; and processing the formatted data and the abnormal information obtained based on the early-warning model into a standard format, sending to a base, and carrying out secondary early-warning. In the method, the real-time logging data of a site mud logging unitunder a plurality of operating conditions is acquired and then subject to intellectualized comprehensive analysis and judgment, and primary abnormal early warning is carried out; and meanwhile the data is processed into the standard format and then sent to the base so as to realize a synchronous secondary warning mechanism between the site and the logistical base, thus achieving the purposes of remote automatic monitoring and early warning during the well drilling process in a plurality of the well sites, reducing downhole accidents and meeting the demand for safety drilling production.

Description

technical field [0001] The present invention relates to the field of real-time data acquisition and multi-level synchronous early warning of engineering abnormalities in oil well sites, in particular to a mud logging real-time data acquisition and synchronous early warning method, which can reliably and safely collect real-time data at the well site, and In case of abnormal working conditions, the well site and the logistics base will be synchronously warned. Background technique [0002] Petroleum operation sites are distributed in the wild, with many points and wide areas. It is a complex production process, often accompanied by a series of engineering abnormalities, such as blowout, lost circulation, drilling tool puncture, drilling tool breakage, etc. These abnormalities often lead to drilling engineering accidents , causing huge economic losses. The mud logging process is to install sensors on relevant parts of the drilling platform to collect key parameters, such as v...

AI Technical Summary

Problems solved by technology

However, this technology mainly has the following shortcomings: 1. The well site logging system mainly uses a single parameter alarm, which cannot effectively reflect the complex situation in the well, nor can it satisfy the logistics base to grasp the site situation in time and achieve the purpose of multi-point monitoring the site

2. The function is single, only for the single working condition of the adjacent wellbore, it can only complete the early warning of the collision of the adjacent wellbore, and cannot monitor multiple working conditions at the same time

3. There is no effective combination of real-time data collection and early warning mechanism at the well site, and synchronous early warning at the well site and logistics base cannot be achieved

With the continuous improvement of safety production and emergency command requirements, conventional mud logging production methods can no longer meet the needs of production management. It is necessary to establish a set of real-time data collection and transmission of well sites and an early warning mechanism for engineering abnormalities. Security Monitoring System

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