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Closing "The Loop" With Mudlog Data: From Performance Analysis to Uncertainties Management To Plan Future Wells

CONFERENCE PAPER

A huge amount of data is recorded during well operations, ranging from rig sensors to lithological information, drilling reports, and equipment records. Usually the use of these data, particularly those acquired through rig sensors, is limited to control in real time drilling operations. However, all these records are highly valuable for future wells engineering and planning.
This paper describes how the combination of these data sets increases their value and creates practical analyses for well problems investigation, performance enhancement, and ultimately supports cost reduction by anticipating and reducing risks.
A tangible economic benefit of this approach, measured on a real application, can be expressed in the range of 5% to 8% of overall well expenditure.


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Enhanced Post-Well Analyses by Data Integration Over Entire Projects Lifecycle

CONFERENCE PAPER

The lifecycle of any Drilling and Completion project is usually organised in 3 steps: Planning, Operations monitoring, and Post-well analysis. Any of these steps generates a large amount of technical and non-technical data. Eni Upstream tackled this challenge by re-organizing all the wells dataflow on a common platform.
As a result, any kind of performance analysis is made possible such as: level of Non-Productive Time compared to risks, probability distribution from offset wells for the Rate of Penetration in specific formations, lessons learned on specific troubles types,...


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Advanced Drilling Time Analysis Through the Combination of Operations Reporting & Sensors Data

CONFERENCE PAPER

Drilling performance analysis is a fundamental step in continuous operations improvement. As such, this step is primarily based on daily drilling reporting compiled by Company Men on rig sites. This kind of report has two limits: it is subject to human bias and it does not highlight short activities. However, there is another way to measure operations performance through surface logging data interpretation.
The approach presented in this paper combines the traditional daily drilling report review with the analysis of mudlog data. Actually such a combination makes the best of the 2 data sources in order to perform a quality control of daily drilling reports and to increase the accuracy and resolution of the time analysis.


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id3 video

VIDEO

Look at how id3 works! The video highlights only some functionalities of the system, however it is a great way to understand how it is simple and user friendly.


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Bit selection with id3

CASE STUDY

id3 allows to measure the ROP according to the phase and the lithology and is able to combine this information with the standard bit records. As a consequence id3 creates a standard set of measures that helps to select the best bit and to define the optimal drilling parameters. Read the case study of an offshore drilling campaign.


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Learning curve with id3

CASE STUDY

id3 allows to compare several wells with just one click. This allows to perform accurate analysis of learning curve on drilling time and flat time in few seconds. Read the case study of a deep offshore exploration campaign.


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Download case study

Rig performance with id3

CASE STUDY

In kwantis we believe that higher the accuracy of the time analysis, higher could be the potential for improvements. id3 allows to create a time breakdown with an accuracy of 5 seconds: read the case study regarding the evaluation of the performance of the rig crews on different well campaigns.


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Capabilities

Address drilling performance of a single well or multiple wells with a high-level of accuracy in one click.

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IT Architecture

id3 provides a simple architecture based on a robust data model supported by intuitive dashboards.

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