Using the software we have developed, it takes only 3 seconds to obtain lithological interpretation results presented in the form of pie charts, lithological zoning based on depth, and log data plots along with their zoning. All you need to do is drag and drop the LAS data and set the depth interval, and the interpretation results will appear immediately. You can also download the data in Excel format.

The determination of lithology is based on the calculation of clay volume using gamma ray data to determine the lithology of sandstone, coal, siltstone, claystone, and volcanic/intrusive rocks. After that, the rules based on the table below are applied.

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YOUR WORKSPACE

⛏️ Smart LAS Lithology Interpreter

Drag and Drop Your .LAS File Here (or Click to Select)

Analysis Interval:

Colour Brightness:

Formation Tops

Paste from Excel (Formation, Top, Bottom):

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REFERENCE:
https://www.linkedin.com/posts/aref-hamid-2b3427b9_wireline-logging-fullset-activity-7024414826718203905-O7SE?utm_source=share&utm_medium=member_desktop&rcm=ACoAAC7TSsABdfz5LnZemxNgnNTeRVB__XQ5p4c

Using our software, you only need to drag and drop the triple combo from the LAS data and specify the depth analysis interval (e.g. every 5 metres) to read the well log data in 3 seconds by 6 rules from Ko Ko Rules.

Here are the 6 rules from Ko Ko Rules:

1. Tight non-reservoir: Right-Right-Right-Right.

• GR: High → shale/clay-rich, non-reservoir (radioactive minerals: U, Th, K).

• Resistivity: High → tight/impermeable formation with little conductive fluid.

• Density & Neutron: Both indicate low porosity → compact, poor-quality rock.

👉 Overall: High GR + low porosity (Density–Neutron) + high resistivity = non-reservoir, shale-dominated zone.

2. Shale: Right-Right-Right-Left.

• GR: High → shale/clay-rich zone with elevated natural radioactivity (U, Th, K).

• Resistivity: Generally high due to tightness, but may deflect left in conductive shales.

• Density: Indicates low porosity (tight formation).

• Neutron: Deflects left, showing artificially high porosity from clay-bound water.

• Key Feature: Reversed Density–Neutron crossover (Neutron > Density).

👉 Overall: This log response is characteristic of shale zones, where clay effects distort neutron readings.
📌 Note: Similar crossover can occur in dolomitic zones, but GR is typically lower there.

3. Low porosity (tight) reservoir: Left-Right-Right-Right.

• GR: Low readings reflect dolomite’s low natural radioactivity (low Th, K, U).

• Resistivity: Indicates rock compactness/tightness rather than fluid type—higher in impermeable zones.

• Density & Neutron: Track porosity but are strongly influenced by matrix effects; in dolomite, this often causes a reversed crossover.

👉 Overall: In dolomitic or tight carbonate reservoirs, log responses are driven mainly by matrix composition and rock tightness, not by fluid content.

4. Water bearing reservoir: Left-Left-Left-Left.

• GR: Low readings indicate clean sand/carbonate with minimal natural radioactivity (low Th, K, U).

• Resistivity: Differentiates fluids—low when water-filled, high when hydrocarbons are present.

• Density & Neutron: Indicate higher porosity, confirming good reservoir quality.

👉 Overall: A zone with low GR, porous Density–Neutron response, and resistivity controlled by fluid type represents a clean reservoir interval.

5. Oil bearing reservoir: Left-Right-Left-Left.

GR reads lower because of reduced radioactivity (Th, K, U). Resistivity increases in the presence of non-conductive hydrocarbons. Density-Neutron logs indicate higher porosity in the reservoir.

6. Gas reservoir: Left-Right-Left-Right.

GR is lower due to reduced radioactivity (Th, K, U). Resistivity is higher from non-conductive hydrocarbons. Density log shows lower bulk density because of low gas density. Neutron log indicates apparent low porosity in gas zones due to weaker neutron–hydrogen interactions in gas compared to water.

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YOUR WORKSPACE

LAS Well Log "Ko Ko Rules" Analyzer

Drag and Drop Your LAS File Here

Comparison Trend Interval:

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REFERENCE:
https://www.linkedin.com/pulse/six-ko-rules-easily-detect-oil-gas-water-from-well-log-dosh-nazlan/

Easily convert your graphical data into a usable digital format with our intuitive Graph Data Extractor tool. The process is straightforward.

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YOUR WORKSPACE

Step 1: Upload the Graph Image

Pilih file gambar (JPG, PNG):

Select image file (JPG, PNG):

Click on your image to find out the pixel coordinates, then enter them below.

Starting Point of X-axis (pixel):

Top Y-axis Pixel (Minimum Value):

End Point of X-axis (pixel):

Y-axis Pixel Below (Max Value):

Minimum Value on the X-axis:

Minimum Value on the Y-axis (Top):

Maximum Value on the X-Axis:

Maximum Value on the Y-axis (Bottom):

The image area will appear here after uploading.

Current Pixel Coordinates: Move the mouse over the image

Step 3: Click on the image to retrieve the data

After applying the settings, click on the data point in the image. The results will appear in the table below.

No.	X-axis value	Y-axis value (Depth)

To the esteemed oil and gas professionals,

Imagine you have a stack of well data files (LAS files) from various sources. You need to analyze them, integrate them, and visualize them—all without the hassle of heavy-duty software or cumbersome processes. That's why we've developed a concise, powerful, and user-friendly web application, designed specifically for your needs.

Key Features: A Fast Solution for Log Analysis

1. A Direct and Efficient Interface

No more confusing menus. Our application offers an intuitive drag-and-drop interface. Simply drag and drop your LAS files, and the application gets to work. Minimal controls ensure you can focus on the data, not on navigation.

2. Smart LAS Data Management

This application can process one or more LAS files simultaneously, automatically identifying all curves (such as GR, RHOB, NPHI) and their associated metadata. This saves you from the tedious task of manual data parsing.

Integrated and Interactive Visualization

3. Fast Log Classification and Filtering

Forget manual searches. Our application intelligently classifies your logs into common petrophysical categories, such as Gamma Ray, Bulk Density, Resistivity, and more.If your log data does not fall into any classification, you can do it yourself in this tool.

4. Dynamic and Industry-Standard Plotting

Using an advanced visualization library, our application generates interactive log plots. You can view well logs with an accurate depth scale (Y-axis). The feature automatically applies a logarithmic scale for resistivity logs, ensuring data visualization aligns with standard industry practices. You can also zoom and pan to examine data details at specific depth intervals.

Splicing: Merging Data with Ease

5. Data Splicing and Consolidation

This is a real game-changer. Our application allows you to merge data from multiple LAS files into a single, cohesive file.

The process is simple:

• Select the logs you want to merge.

• Click "Process Splice".

• The application will merge the log data into a single continuous dataset based on depth.

• A progress bar monitors the process, especially for large files, providing visual feedback.

Once complete, you can immediately download the merged LAS file (spliced.las). The application also provides a CSV summary that outlines log availability in each file, helping you with data documentation and auditing.

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YOUR WORKSPACE

Advanced LAS Viewer & Splicer (Classification-Based)

Drag and Drop LAS files here

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