LIMS petrochemicals/oil

Laboratories in the petrochemicals/mineral oil industry have an enormous responsibility. Data must quickly be made available for use in production in order to maintain consistently high quality. In order to achieve this, different areas of the lab work together closely. Research and development in this industry also relies on rapid results from the laboratory. Different formulations and their development generate a huge volume of data.

lisa.lims supports laboratories right from the beginning of the sampling process, mapping samples using a time- and/or event-driven approach. Sample management, the recording of results, preparation of the lab report and analysis functions are fully integrated into the system. The degree of automation depends on the user’s needs and laboratory facilities.

Creating a powerful petrochemical laboratory with the lisa.lims add-on modules

Extensive add-on modules for formulation management and development, chemical storage management, etc. create additional possibilities for deploying lisa.lims, such as optimizing the used in order to achieve the desired product characteristics. The system saves the data in searchable form.

Sophisticated, individually configurable workflows manage work in the laboratory (including compliance with DIN/EN/ISO 17025), ensuring all working steps are transparent and traceable. Additional procedures can be defined to prepare and approve test results, certificates, etc., including straightforward qualified digital signature procedures.

lisa.lims offers many benefits for your petrochemical laboratory

Minimizing paper-based processes increases efficiency, while interfaces to testing systems and other software improve the flow of information and ensure maximum data quality. Sources of error are also reduced to a minimum.

The WebPortal (WebShop and WebInfo) takes enormous pressure off the laboratory, enabling those outside the lab to order tests themselves or search the data (status and statistics).


The result:

  • Reduced costs
  • Improved data quality
  • Comprehensive data analysis possible


  • measurement devices
  • laboratory automation
  • Enterprise Resource Planning (ERP) systems
    (Microsoft, ORACLE, SAP, …)
  • online interfaces