IRAP RMS Suite is a software toolkit for geomodelling[1] and designing reservoirs. It is primarily designed for use in the oilfield industry, helping engineers gather data from a wide variety of sources to efficiently build reliable reservoirs. In the program, the workflow consists of Internal Programming Language scripts,[2] which execute emulations of certain models, varying one parameter, whilst keeping the rest consistent.[3]
Roxar's integrated Irap RMS Solution can help accelerate the field development planning cycle by allowing multiple disciplines to work together on a common reservoir model in parallel. The capability to build reliable reservoir models in a collaborative environment also assists in increasing the ultimate recovery.

Roxar appreciates that the biggest challenge the exploration and production industry faces is the industry wide skills shortage with maturing and more difficult to develop hydrocarbon assets.

Roxar’s Irap RMS breaks down the barriers between geoscientists and engineers, resulting in better decisions through a shared understanding of the reservoir. Integrated workflows deliver team productivity improvements whilst also capturing valuable knowledge about the reservoir.

Irap RMS is the E&P industries premier solution for integrated static and dynamic reservoir modelling. It comprises of a range of linked modules, each covering a specific stage of the complete reservoir characterization, development and production optimisation workflow.

Integrate Reservoir Knowledge

Breaking down the traditional barriers between technical domains Irap RMS enables the building of a shared earth model. This ensures that the expertise and knowledge of the full team can used to build the most accurate reservoir model for planning and decision making.

Reduce Risk and Manage Uncertainty

Irap RMS makes it easy to generate multiple scenarios for the analysis of uncertainty across both the static and dynamic reservoir model. The ability to easily quantify the risks helps optimise the field development planning process and technical decision making. This ultimately leads to an improved project return on investment.

ensure that models can be updated immediately when new data becomes available.

No comments: