Shot Point Digitization
Shot point digitization refers to the process of converting physical seismic records—such as shot point maps, analog logs, or paper seismic lines—into digital formats for geological software .
It involves taking legacy 2D paper/raster seismic sections and converting them into digital SEG-Y formats. The coordinates of the shot points on the survey line must be extracted from physical base maps and merged with the trace data.
The Process includes :
Map Georeferencing: Shot point numbers and locations are digitized from scanned analog basemaps. Coordinates are calibrated using spatial referencing in a GIS environment.
Seismic Tracing: The raster seismic section is digitized. Specialized auto-trace and vectorization software reads the wiggly trace lines and negative phase signals from the image, preserving amplitude and frequency.
Navigation Merging: The extracted shot point locations (spatial coordinates and CMP data) are merged with the trace data headers to create a fully navigated SEG-Y file.
At R2V Technologies, we specialize in shot point digitization and seismic navigation data conversion. We extract coordinate information from faded paper base maps, old location ledgers, and distorted film to build highly accurate, clean spatial datasets ready for modern interpretation platforms.
Unlike generic data-entry vendors, the team at R2V Technologies understands the geophysics behind the numbers. Our quality assurance checks include testing line intersections for depth/time consistency and verifying shotpoint spacing against original vintage observer logs. We ensure that your reconstructed navigation data matches the physical reality of the original survey layout.
Our Work
Core Photo Splicing
Core photo splicing refers to the manipulation of digital images by copying, pasting, or combining parts of two or more images into a single composite. This technique is used for creative photo editing, web design, or malicious forgery intended to deceive the viewer.
It is the process of cropping, aligning, and stitching raw core box photographs into a single, continuous, depth-calibrated visual log.
During well log digitization, this spliced image provides a highly accurate, continuous geological baseline to calibrate wireline logs, identify lithologies, and calculate Rock Quality Designation (RQD).
Methodology :
Data selection – To start with , a small representative interval of the core photograph is taken and a classifier is trained to distinguish different lithology classes based on their textural and spectral characteristics . Data selected for initial classifier training should be representative of the entire well, and chosen carefully so that they contain all the potential classes that need to be identified .
Protocol development : can be defined as a set of rules and controlling parameters that are arranged in a sequential order and work together to automate core photograph classification. All parameters that best classify the core photograph, based on the experiments on the core photograph used in this study, are coded as a protocol.
Image segmentation : This is a process of partitioning an image into nonoverlapping regions. A multi-resolution segmentation algorithm is used for image segmentation, which is a region-merging technique that starts with single-pixel objects.
Knowledge-base design : It is used to define possible classes present in the core photograph. In this scheme, an expert trains a suitable classification algorithm by selecting representative objects for each class and defining features that could distinguish objects belonging to various classes.
Image classification : Classification is a process of assigning each segmented object to appropriate classes (lithology in this case) . The principle of image classification is that each object is assigned to a class based on its characteristic features, by comparing it to the predefined feature ranges in the feature space.
At R2V Technologies, our core photo splicing services digitally eliminate these gaps. We reconstruct individual slabbed or whole-core photographs into a single, high-resolution, depth-registered vertical composite. This provides geoscientists with an uninterrupted, workstation-ready view of the entire cored well interval.
Why Outsource Core Photo Splicing to R2V Technologies?
Geological Awareness: Our data technicians are trained to distinguish between natural structural fractures (faults, stylolites) and drilling-induced mechanical breaks, ensuring natural features are never spliced out.
Workstation Ready: We don’t just deliver an image; we deliver a georeferenced dataset that loads instantly into your existing petrophysical interpretation suites.
Scalable Data Rooms: Turn dusty physical archives into interactive digital assets for joint ventures, asset divestitures, and remote technical reviews.
Our Work
Seismic Field Record Digitization
Seismic record field digitization refers to the process of converting analog voltage signals from field geophones into discrete digital counts using an Analog-to-Digital Converter (ADC).
This crucial step allows seismologists to apply modern digital signal processing, filter out noise, and store data in standard formats like SEG-Y.
The Digitization Process :
Analog to Digital: Continuous voltage outputs from field sensors (geophones) are sampled at specific intervals and converted into binary digital values.
Sampling Rate: Defines how many times per second the signal is recorded (e.g., 500 Hz or 1000 Hz). The sampling rate must perfectly respect the Nyquist theorem to prevent aliasing.
Resolution: Modern data acquisition systems utilize 24-bit ADCs, providing a high dynamic range to capture both minuscule micro-seisms and massive ground motions.
At R2V Technologies, we provide professional seismic field record digitization services designed to transform aging seismic documents into accurate, structured, and analysis-ready digital datasets.
Our experienced digitization specialists use advanced vectorization and data extraction techniques to ensure maximum precision and consistency.
Our Work
Drilling Information Digitization
Tadpole Digitization
A Dipmeter is a specialized wireline well logging tool used to measure the angle (magnitude) and direction (azimuth) of subsurface rock layers. By identifying the dip of geological formations, it helps geologists map underground structures, trace sedimentary environments, and detect faults or folds.
The determination of dip angle and direction of a planar surface requires the elevation and geographical position of at least three points. Dipmeter tools achieve this result by measuring some sensitive formation parameter by means of three or more identical sensors mounted on caliper arms so as to scan in detail different sides of the borehole wall.
The most common presentation of dipmeter data is the arrow or tadpole plot, which is two-dimensional representation of a three-dimensional quantity .
At R2V Technologies, we provide professional tadpole digitization services tailored to the needs of oil & gas companies, geological survey organizations, mining companies, and geophysical consultants. Our experienced digitization team converts paper-based tadpole diagrams and analog records into structured digital datasets with high precision and quality control.
Our Work
Header Capturing
Header capturing in well logging is the process of extracting critical metadata from the header section of a physical or scanned well log and converting it into a standardized digital format, such as an LAS, ASCII, or Excel file.
LAS Header includes :
Well name
API No.
Service company
Client
Country and State name
County
Field name
Location and other drilling information .
