Drilling Parameter Data Analysis via Periodic Orthogonal Functions
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Solution Overview
Problem
Current drilling technologies face challenges in precisely predicting the top of pre-salt carbonate reservoirs due to limited seismic resolution and underutilization of high-resolution drilling parameter data, which are difficult to interpret and integrate with other data types, leading to increased operational risks and financial losses.
Innovation Solution
The use of periodic orthogonal functions, specifically Andrews' Fourier series, combined with simple statistical filters and PCA, to process and visualize drilling parameter data, allowing for robust interpretation and characterization of geological and drilling patterns in both time and depth ranges, thereby aiding in the identification of reservoir tops and reducing risks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If conventional time-depth conversion with averaging is used to process drilling parameter data, then the data integration becomes simpler, but the textural information and high-resolution patterns are attenuated
Solution Approach 1:
The patent changes the processing parameters by applying Fourier series transformations and statistical filters instead of conventional averaging methods. This transforms the drilling parameter data from time-domain to frequency-domain representations, preserving high-resolution textural information while enabling integration with seismic and LWD data through standardized depth-range correlations
Solution Approach 2:
The patent replaces the mechanical averaging process with a mathematical transformation system based on Fourier series and statistical filtering. This substitution maintains measurement precision by converting raw drilling parameters into enhanced representations that preserve fine-scale patterns while facilitating data integration across different measurement systems
2Adaptability or versatility
If multiple drilling parameters are integrated with seismic and LWD data using conventional methods, then comprehensive analysis is achieved, but the interpretation complexity becomes highly complex
Solution Approach 1:
The patent creates a universal processing framework that handles multiple data types (drilling parameters, seismic data, LWD profiles, gas data) through a common methodology. The Fourier-based transformation and statistical filtering provide a unified approach that simplifies the integration process while maintaining the ability to analyze all parameter types simultaneously through standardized procedures
Solution Approach 2:
The patent introduces Fourier series transformations and statistical filters as intermediary processing steps between raw data collection and final interpretation. These intermediaries transform diverse data types into standardized representations that are easier to integrate and interpret, reducing the overall system complexity while preserving comprehensive analysis capabilities
3Reliability
If LWD tools measure at a distance of 3m from the drill bit, then tool reliability is improved, but the real-time measurement precision of formation characteristics is reduced
Solution Approach 1:
The patent applies preliminary processing actions to drilling parameter data that are acquired continuously during drilling operations. By transforming the data using Fourier series and statistical filters in real-time, the system extracts formation characteristics from parameters measured at the drill bit location, providing precise formation identification without requiring physical proximity measurements from distant LWD tools
Data Source
AI summary
The present invention relates to a technique for identifying geological and drilling patterns by analyzing data from drilling parameters, using periodic orthogonal functions applied to such data. The use of averages to convert time data to depth data acts as a low-pass filter, attenuating the textural information from the torque data. Therefore, with the use of simple statistical filters combined with the use of multidimensional data visualization methods, it is possible to discretize drilling and geological patterns in the depth data acquired, aiding in the characterization of the top of the pre-salt carbonate reservoir, minimizing the geological and engineering risk in these operations. It is noted that in some situations of well kill, it is common not to have perceptible contrasts when analyzing the drilling parameters in the transition between the basal anhydrite and the carbonates, with the use of techniques such as PCA (Principal Components Analysis) being necessary in order to increase the method's power of discrimination. The technique disclosed minimizes the exploratory risks in pre-salt kill situations, as it allows precise characterization of the top of the carbonate reservoir.