API Technical Data Book Petroleum Refining 1997 Scan – Reference for Physical and Thermodynamic Properties

Scope and Application

The API Technical Data Book for Petroleum Refining (1997 edition, scanned version) is a foundational reference manual developed by the American Petroleum Institute. It consolidates experimentally derived and critically evaluated data on the physical, thermodynamic, and transport properties of hydrocarbons, petroleum fractions, and related fluids. Although not a formal code or standard in the traditional sense, this data book serves as the de facto authority for property estimation in refinery process design, simulation, and debottlenecking studies. The scanned edition preserves the original 1997 compilation, which includes updates from prior editions and supplements published through the mid‑1990s.

Intended for chemical engineers, refinery process engineers, and technical specialists, the data book covers properties from atmospheric pressure to moderate pressures (up to about 10 MPa) and temperatures ranging from cryogenic to near‑critical conditions of typical refinery streams. The scope encompasses both pure components (e.g., methane, heptane, benzene) and complex undefined fractions defined by boiling range, API gravity, or Watson characterization factor.

Technical Content and Data Compilation

The data book is divided into dedicated chapters, each addressing a specific property class. The following table summarises the main sections and the type of data provided.

Each chapter presents data in several forms: tabulated experimental values, empirical correlations with coefficients, and graphical nomographs. The scanned edition reproduces all original charts and nomographs, which are indispensable for manual calculations or verification of computer‑generated results.

Data Quality and Uncertainty

The API Technical Data Book draws from critically reviewed experimental programs at API‑sponsored laboratories (e.g., National Bureau of Standards, now NIST) and industry consortia. The reported uncertainties are typically within ±1 % for directly measured properties and ±2–5 % for derived correlations, unless otherwise noted. The 1997 edition includes a detailed uncertainty budget for each major correlation, allowing the engineer to assess the risk in design margins.

Implementation in Refinery Engineering

Today, the API Data Book is routinely referenced during:

• Process simulation – calibration of equation‑of‑state models for crude and vacuum distillation units;
• Heat exchanger design – estimation of fouling resistances and thermal conductivities of hydrocarbon streams;
• Hydraulic calculations – pressure drop in piping using liquid and vapor viscosity from Chapter 7;
• Product blending – density and vapor pressure blending indices (Chapter 4 and 3).

For computer‑aided engineering, the correlations in the data book have been encoded in major process simulators (Aspen Plus, HYSYS, Pro/II). However, the scanned edition remains essential for auditing those implementations and for teaching fundamental property estimation methods.

Compliance Notes and Best Practices

Because the API Technical Data Book is a reference manual rather than a regulatory code, “compliance” is interpreted as adherence to sound engineering practice. The following guidelines are recommended for users of the 1997 scanned edition:

• Document version traceability – Clearly cite the edition (1997) and specify whether data were obtained from the scanned copy or an alternative source.
• Cross‑reference with newer editions – The API has published subsequent revisions (2000, 2005, etc.). When possible, check whether the correlation or constant of interest has been updated.
• Digital preservation – Store the scanned files in a non‑proprietary format (PDF/A) and verify the optical character recognition (OCR) layer, if present, for searchability.
• Uncertainty propagation – In design calculations, propagate the property uncertainties (given in the data book) through the design margin analysis. A typical safety factor of 5 % on heat transfer area, for example, can be offset by the higher confidence from using critically evaluated data.

For regulatory submissions or licensing applications, the data book alone may not satisfy jurisdictional requirements. Engineers should supplement it with certified test data or recognised national standards (e.g., ASTM Methods for specific property tests).

Frequently Asked Questions