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Crude assay management Refinery Planning and crude oil data manager

Transform Crude Assay Data into Reliable Engineering Decisions

CUTS converts incomplete, inconsistent, or differently formatted crude oil assays into a complete and internally consistent crude oil characterization.

Crude characterization Assay reconciliation LP optimization Process simulation
CUTS crude assay software
CUTS crude assay management software interface
10°C Contiguous pseudo-component cuts
Full Range Complete boiling-range characterization
One Database Shared source of consistent crude data
Any Fraction Flexible crude recutting and querying
Introducing CUTS

Crude Assay Management and Characterization Software

refinery scheduling Every refinery decision begins with an understanding of the crude oil being processed. Reliable planning, scheduling, blending, optimization, and simulation depend on accurate and internally consistent assay data.

refinery scheduling CUTS is developed for refinery professionals who need to organize, validate, reconstruct, and apply crude assay information throughout the engineering workflow.

Using proprietary multidimensional regression and advanced data reconciliation, CUTS transforms incomplete or inconsistent laboratory measurements into a coherent, queryable crude assay database.

See how characterization works
01

Organize

Bring crude information from different sources into one technical environment.

02

Reconcile

Resolve gaps, inconsistent formats, and non-uniform laboratory cut points.

03

Characterize

Represent each crude continuously across its full boiling range.

04

Apply

Use consistent properties in refinery planning and engineering tools.

Engineering data quality

Why Accurate Crude Assays Matter

Every crude oil is unique. Its processing behaviour, product yields, and product quality depend on how physical and chemical properties are distributed throughout the boiling range.

01

Different Sources

Assays may originate from laboratories, crude suppliers, published databases, or historical refinery records.

02

Different Cut Points

Available fractions often use non-standard boiling ranges that cannot be compared directly.

03

Missing Properties

Important physical or chemical properties may not be reported for every required fraction.

04

Different Test Methods

TBP, ASTM D86, partial laboratory measurements, and other methods may require reconciliation.

Inconsistent assay data does not stay isolated.

Any inconsistency introduced at the crude assay stage can propagate into feedstock evaluation, blending studies, refinery economics, planning models, and process simulations.

Continuous crude characterization
CUTS continuous crude oil property characterization screen
CUTS crude oil characterization property curves
Any fraction Query properties without being limited to the original assay cut points.
Complete characterization

A Continuous Representation of the Entire Crude

Laboratory assays typically report properties only for selected fractions. CUTS converts these isolated measurements into a continuous and internally consistent model.

The crude is represented as a distribution of pure components and pseudo-components spanning the full boiling range. This allows the properties of virtually any required fraction to be calculated consistently.

  • Independent of the original assay reporting format
  • Not limited to laboratory cut points
  • Suitable for downstream engineering applications
  • Shared across multiple refinery departments
Proprietary technology

Multidimensional Regression

Regression identifies relationships in available data and uses those relationships to estimate missing or uncertain values. CUTS evaluates several properties together rather than treating each measurement in isolation.

01

Analyze Relationships

Evaluate how reported assay properties vary together across the boiling range.

02

Reconcile Data

Resolve inconsistencies between measurements, cut points, and reporting formats.

03

Estimate Missing Values

Calculate technically reasonable values supported by the available assay information.

04

Preserve Natural Trends

Maintain the behaviour of the TBP and reported property curves.

Property regression and reconciliation
CUTS multidimensional regression and property reconciliation interface
Automatic crude recutting

Create the Fractions Required by Each Engineering Study

Once the crude has been characterized continuously, CUTS can recalculate yields and properties for different fractionation schemes without rebuilding the original assay.

CUTS crude recutting and petroleum fraction calculation
01

Original Assay

Preserve the original laboratory information and reported fractions.

02

Continuous Model

Reconstruct the full crude using contiguous pseudo-components.

03

New Cut Points

Define broad or narrow fractions according to each study’s requirements.

04

Consistent Results

Calculate yields and properties from the same underlying characterization.

Pseudo-component generation

Detailed 10°C Cuts Across the Full Boiling Range

Crude oil contains thousands of compounds, making direct representation impractical for most refinery models.

CUTS groups hydrocarbons with similar characteristics into contiguous pseudo-components. Each narrow 10°C fraction receives calculated physical and chemical properties.

This provides a practical and computationally efficient description of the crude while preserving property relationships throughout the characterization.

10°C Narrow boiling fractions
Continuous Property distributions
Consistent Engineering inputs
CUTS pseudo-component generation across the boiling range
Laboratory data

TBP Distillation and ASTM D86 Data

CUTS interprets laboratory information as a connected technical dataset rather than as unrelated measurements.

TBP Distillation

Describes crude behaviour through the boiling range and provides a basis for continuous fraction characterization.

ASTM D86 Results

Supports interpretation of reported distillation behaviour where assays use different testing methods.

Fraction Properties

Incorporates physical and chemical measurements reported for different petroleum fractions.

Incomplete Data

Reconciles available information to develop the most coherent model supported by the source assay.

Refinery workflows

Applications Across the Refinery

One consistent characterization can support multiple engineering and operational activities.

01

Refinery Planning

Evaluate crude slates, production plans, and refinery economics using comparable feedstock data.

02

Refinery Scheduling

Our refinery scheduling solutions optimize crude oil receipts, tank movements, production planning, and processing operations. Improve refinery scheduling efficiency, maximize throughput, reduce operational constraints, and support better day-to-day refinery decision-making.

03

Crude Blending

Compare and combine crudes using consistent boiling-range and property definitions.

04

LP Optimization

Supply representative pseudo-component properties for refinery optimization models.

05

Process Simulation

Prepare consistent feed characterization for CDU and other refinery process models.

06

Feedstock Evaluation

Compare alternative crude oils and support crude selection using a common technical basis.

Integration with existing tools

One Crude Database for Multiple Engineering Applications

A crude characterization is rarely used in isolation. Planning, scheduling, simulation, blending, and optimization teams may all require the same crude information in different forms.

CUTS provides a common technical foundation so departments do not need to create separate interpretations of the same laboratory assay.

Properties can be prepared for any required fraction, simplifying data exchange between engineering disciplines and downstream tools.

CUTS Shared Crude Assay Database
Planning
Scheduling
Blending
LP Models
Simulation
Evaluation
Business and engineering benefits

Spend Less Time Preparing Data and More Time Evaluating Decisions

CUTS reduces repeated assay preparation and provides a consistent technical basis for refinery engineering studies.

01

Improve Planning Accuracy

Work from a complete and internally consistent crude characterization.

02

Reduce Manual Reconciliation

Minimize time spent checking laboratory reports and estimating missing values.

03

Increase Engineering Consistency

Use the same technical assumptions across departments and studies.

04

Accelerate Crude Evaluation

Query properties for the fractions required by each engineering task.

05

Strengthen Model Inputs

Supply coherent pseudo-component properties to planning and simulation tools.

06

Support Better Decisions

Reduce uncertainty in crude selection, blending, and operational studies.

Why CUTS is different

More Than a Repository of Laboratory Measurements

Many crude assay systems primarily store and distribute reported laboratory values. CUTS creates a reusable engineering model of the crude.

It combines data reconciliation, continuous characterization, pseudo-component generation, and flexible recutting within one technical workflow.

Proprietary multidimensional regression

Developed specifically for crude assay reconstruction.

Complete boiling-range characterization

Extends beyond the fractions reported in the original assay.

Automatic 10°C pseudo-components

Provides detailed and contiguous property distributions.

Flexible crude recutting

Calculates different fraction schemes from one consistent model.

Queryable crude assay database

Supports multiple engineering uses from a shared foundation.

Frequently asked questions

Understanding CUTS and Crude Assay Management

01 What is crude assay management software?

Crude assay management software helps refineries organize, validate, reconstruct, and apply assay data throughout the engineering workflow. It converts laboratory measurements into a consistent characterization for planning, scheduling, blending, optimization, and simulation.

02 Why are crude oil assays often incomplete?

Assays may come from different laboratories, suppliers, databases, or historical records. They often use different cut points, test methods, units, and property sets.

03 How does CUTS estimate missing properties?

CUTS uses multidimensional regression to evaluate relationships between several reported properties simultaneously. It then creates values that remain consistent with the available assay and the overall property trends.

04 What are pseudo-components?

Pseudo-components are narrow boiling-range fractions used to represent groups of hydrocarbons with similar characteristics. CUTS generates contiguous 10°C cuts across the entire crude.

05 What is crude recutting?

Crude recutting recalculates petroleum fractions using cut points different from those reported in the original assay. CUTS performs this from the continuous characterization without altering the original data.

06 Can CUTS process incomplete laboratory assays?

Yes. CUTS is designed to reconcile incomplete and differently formatted assays. The quality of the resulting model still depends on the quantity and reliability of the available source data.

07 Which refinery activities benefit from CUTS?

Applications include feedstock evaluation, crude selection, refinery planning, scheduling, crude blending, LP optimization, and process simulation.

08 Why is an internally consistent assay important?

Engineering models are only as reliable as their input data. Consistent property relationships reduce conflicting results and improve confidence across planning, simulation, and optimization studies.

Improve crude assay workflows

Build Refinery Decisions on Consistent Crude Data

Discover how CUTS can support crude characterization, planning, optimization, blending, and process simulation in your organization.

Discover the Latest Features and Resources

Check out the latest news, features, benifits, Frequently Asked Questions, and Integration with Existing Tools.

13 September 2021
A crude oil characterization is rarely used in isolation.
By transforming incomplete or inconsistent crude oil assay information into a complete and internally consistent crude
Why is an internally consistent crude assay important?