Skip to content
  • Home
  • Categories
    • Geology
    • Geography
    • Space and Astronomy
  • About
    • Privacy Policy
  • About
  • Privacy Policy
Our Planet TodayAnswers for geologist, scientists, spacecraft operators
  • Home
  • Categories
    • Geology
    • Geography
    • Space and Astronomy
  • About
    • Privacy Policy
on October 6, 2023

Decoding Drift Curves: Unraveling Well Tie Calibration and Interpreting Sonic vs Checkshot Calibration in Geophysical Earth Science

Geophysics

Contents:

  • Construction of a Drift Curve in Well Tie Calibration
  • Sonic Calibration vs. Checkshot Calibration
  • FAQs

Construction of a Drift Curve in Well Tie Calibration

In the field of geophysics and earth sciences, one of the fundamental tasks is to establish a reliable correlation between well log data and seismic data. This correlation, often referred to as well tie calibration, is critical for accurate interpretation of subsurface geologic features and for making informed decisions in the exploration and production of hydrocarbon reservoirs. An important aspect of the well tie calibration process is the construction and interpretation of a drift curve.

A drift curve represents the relationship between the vertical depth measured in a well and the corresponding two-way travel time (TWT) derived from seismic data. It serves as a critical link between the time domain of seismic data and the depth domain of well log data. The construction of a drift curve involves several steps. First, well log data such as gamma ray, resistivity and sonic logs are used to establish a depth-time correlation within the well. This correlation is achieved by identifying distinctive markers or reflectors in both the well log and seismic data, such as prominent stratigraphic boundaries or key geological features.
Once the depth-time correlation is established, the next step is to compare the TWT derived from the seismic data with the calculated TWT based on the well log data. Any discrepancy between the two measurements is referred to as “drift”. The drift can be positive or negative, indicating a time lag or lead between the seismic data and the well log data. The drift curve is constructed by plotting the drift values against the corresponding depth values along the well trajectory.

Interpretation of the drift curve is essential for understanding the relationship between the well log data and the seismic data and for identifying potential sources of error or uncertainty in the calibration process. A consistent and smooth drift curve suggests a good correlation between the two data sets, indicating an accurate depth estimate from the seismic data. Conversely, irregularities or abrupt changes in the drift curve may indicate problems such as data misalignment, incorrect depth selection, or uncertainties in the seismic velocity model.

Sonic Calibration vs. Checkshot Calibration

When constructing a drift curve for well tie calibration, two commonly used methods for establishing the depth-time correlation are sonic calibration and checkshot calibration. Both methods aim to determine the velocity of seismic waves traveling through the subsurface, which is critical to accurately converting seismic data from the time domain to the depth domain. However, there are some key differences between sonic calibration and checkshot calibration.

In sonic calibration, sonic logs from the well are used to determine the interval velocities of the subsurface formations. These interval velocities are then compared to the corresponding seismic velocities derived from the seismic data. The goal is to find a consistent relationship between the two sets of velocities that can be used to establish the depth-time correlation. Sonic calibration is a well established and widely used method in the industry. It is based on the assumption that the interval velocities derived from the well logs are representative of the subsurface formations in the vicinity of the wellbore.
On the other hand, checkshot calibration involves performing special seismic surveys, known as checkshot surveys, in which precisely timed seismic shots are recorded at different depths in the well. The recorded travel times of these shots are then compared with the calculated travel times based on the seismic velocities derived from the well log data. Checkshot calibration provides a more direct and accurate measure of subsurface seismic velocities by eliminating potential uncertainties associated with assuming representative interval velocities. However, checkshot calibration requires additional time and resources to perform the dedicated checkshot surveys.
The choice between sonic calibration and checkshot calibration depends on several factors, including the availability of well log data, the level of accuracy required, and budget and time constraints. Sonic calibration is often preferred when well log data is readily available and accuracy requirements are less stringent. Checkshot calibration, on the other hand, is preferred when a higher level of accuracy is required or when sonic log data is unreliable or insufficient. In some cases, a combination of the two methods may be used to take advantage of their respective strengths and mitigate their limitations.

FAQs

Construction of a drift curve in the well tie calibration and how to interpret it?

In well tie calibration, a drift curve is constructed to correct for the time-depth discrepancies between different data sources, such as well logs and seismic data. The drift curve represents the vertical shift or drift in the well log data compared to the seismic data. To construct a drift curve, the well log data, such as sonic, density, or neutron logs, are correlated with the seismic data at specific depth intervals called tie points. The tie points are typically chosen where the seismic reflectors are well-defined and easily identifiable in both the well logs and seismic data.

The process of constructing a drift curve involves:

  1. Identifying the tie points in the well logs and seismic data.
  2. Aligning the well log data and seismic data at the tie points.
  3. Calculating the depth differences or drifts between the well logs and seismic data at each tie point.
  4. Plotting the drifts as a function of depth to create the drift curve.

The interpretation of the drift curve involves analyzing the trend and magnitude of the drifts. A steeply increasing or erratic drift curve suggests poor data quality or incorrect tie point selection. A smooth and gradually changing drift curve indicates a good match between the well logs and seismic data. The drift curve can be used to apply depth corrections to the seismic data, ensuring accurate positioning of seismic reflectors in subsurface interpretation and mapping.

Sonic calibration vs checkshot calibration

Sonic calibration and checkshot calibration are two methods used to establish the relationship between travel time and depth in a well. They are often employed in well tie calibration to correlate well log data with seismic data. Here’s a comparison between the two methods:

Sonic calibration:

In sonic calibration, a sonic log is used to measure the interval transit time (ITT) of compressional waves traveling through the formation. The ITT is then converted to an interval velocity, which represents the velocity of sound waves in the subsurface. The interval velocity is plotted against depth, creating a velocity-depth profile. This profile is compared to the seismic data to identify tie points for well tie calibration. Sonic calibration provides a continuous velocity-depth relationship, allowing for more accurate depth conversion of seismic data.

Checkshot calibration:



Checkshot calibration involves the use of controlled seismic sources, such as explosive charges or vibrators, to generate seismic waves at specific depths in the well. These seismic waves are recorded by geophones and the travel times are measured. By comparing the measured travel times with the predicted travel times from the seismic data, the depth-depth relationship between seismic data and the well log data is established. Checkshot calibration provides discrete depth control at specific depths, but it may not capture the continuous variation in velocity between the measured points.

In summary, sonic calibration provides a continuous velocity-depth relationship, while checkshot calibration offers discrete depth control. The choice between the two methods depends on the data availability, the desired level of accuracy, and the specific objectives of the well tie calibration process.

Recent

  • Exploring the Geological Features of Caves: A Comprehensive Guide
  • What Factors Contribute to Stronger Winds?
  • The Scarcity of Minerals: Unraveling the Mysteries of the Earth’s Crust
  • How Faster-Moving Hurricanes May Intensify More Rapidly
  • Adiabatic lapse rate
  • Exploring the Feasibility of Controlled Fractional Crystallization on the Lunar Surface
  • The Greenhouse Effect: How Rising Atmospheric CO2 Drives Global Warming
  • Examining the Feasibility of a Water-Covered Terrestrial Surface
  • What is an aurora called when viewed from space?
  • Measuring the Greenhouse Effect: A Systematic Approach to Quantifying Back Radiation from Atmospheric Carbon Dioxide
  • Asymmetric Solar Activity Patterns Across Hemispheres
  • Unraveling the Distinction: GFS Analysis vs. GFS Forecast Data
  • The Role of Longwave Radiation in Ocean Warming under Climate Change
  • Esker vs. Kame vs. Drumlin – what’s the difference?

Categories

  • English
  • Deutsch
  • Français
  • Home
  • About
  • Privacy Policy

Copyright Our Planet Today 2025

We use cookies on our website to give you the most relevant experience by remembering your preferences and repeat visits. By clicking “Accept”, you consent to the use of ALL the cookies.
Do not sell my personal information.
Cookie SettingsAccept
Manage consent

Privacy Overview

This website uses cookies to improve your experience while you navigate through the website. Out of these, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may affect your browsing experience.
Necessary
Always Enabled
Necessary cookies are absolutely essential for the website to function properly. These cookies ensure basic functionalities and security features of the website, anonymously.
CookieDurationDescription
cookielawinfo-checkbox-analytics11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics".
cookielawinfo-checkbox-functional11 monthsThe cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional".
cookielawinfo-checkbox-necessary11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary".
cookielawinfo-checkbox-others11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other.
cookielawinfo-checkbox-performance11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance".
viewed_cookie_policy11 monthsThe cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data.
Functional
Functional cookies help to perform certain functionalities like sharing the content of the website on social media platforms, collect feedbacks, and other third-party features.
Performance
Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.
Analytics
Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics the number of visitors, bounce rate, traffic source, etc.
Advertisement
Advertisement cookies are used to provide visitors with relevant ads and marketing campaigns. These cookies track visitors across websites and collect information to provide customized ads.
Others
Other uncategorized cookies are those that are being analyzed and have not been classified into a category as yet.
SAVE & ACCEPT