Reservoir management Black-oil simulation Characterizing fluids with equation of state and compositional simulation Thermal simulation Modeling of horizontal wells Characterization and modeling of fractured reservoirs Geo-statistics/reservoir characterization Pilot design for EOR processes Miscible flood design and modelling 3D geological modeling Data gathering and integration Customized training course Conversion of data sets between different simulators Our experienced staff has extensive experience in all aspects of reservoir simulation from reservoir engineering analysis to reservoir simulator development, including performing studies and history matching to optimize field performance. We have expertise not only in conventional black-oil simulation, but also have extensive experience in compositional simulation and the modeling of naturally fractured reservoirs and horizontal wells. In addition, we are familiar with the latest tools and methods in reservoir characterization and geo-statistics, and can generate a reservoir model which will yield meaningful simulation results.

Reservoir Engineering

Reservoir engineering analysis provides a means of understanding and defining the reservoir mechanics so that the production of hydrocarbons can be optimized. Helix has conducted numerous reservoir engineering studies for our clients. Some typical reservoir engineering analysis includes:

Material balance calculations Volumetric calculations Pressure transient analysis Well bore static pressure gradients/fluid levels Production decline curve analysis Horizontal well analysis Production profile

A thorough reservoir engineering analysis is usually performed prior to and in conjunction with our reservoir simulation studies. By understanding the reservoir using analytical reservoir engineering calculations, many of the parameters required for the simulation model are better defined, and the history matching procedure for the simulation is simplified.

Reservoir simulation provides a powerful tool for reservoir optimization and management. However, the reliability of reservoir simulation forecasts are strongly dependent on the accuracy of the field geological model. The geological model must give the physical shape and volume of the reservoir as well as the internal segmentation of the reservoir including layers, faults, pinch outs, and unconformities. If these features are not well defined then the resulting simulation forecasts may be significantly in error.

In practice, there are always many uncertainties in the geological model for a reservoir because of the scarcity of data. Well data such as cores and well logs sample only a tiny fraction of the volume of the reservoir and there is often considerable subjective interpretation in the development of the geological model. 3D seismic data can provide in some cases, an enormous amount of information about the internal architecture of the reservoir which is useful for defining the underlying trends of various surfaces obtained from mapping of the hard data at the wells.

Helix has considerable experience in developing realistic geological models using the latest geoscience software tools such as Petrel and IRAP RMS, and up-scaling these models to commercial reservoir simulators. These geological models were developed by integrating all the available data including seismic, petrophysics, geology, and engineering data. Helix has considerable experience in the application of stochastic methods to model the facies distribution in the reservoir as well as the distribution of rock property attributes such as porosity or permeability.

One of the major difficulties in any reservoir study is the limited amount of data available to describe the large and complex reservoir volume. Thus, it is crucial that the all data from the different geoscience disciplines be used to generate the best possible earth model. One of the most difficult and time consuming tasks in building a realistic field geological model, especially for large fields with large number of wells, is integrating the data from the different geoscience disciplines and be able to stream this data seamlessly between the different geoscience software tools. Using different data sources to quality control an earth model is also important to weed out erroneous data and build a realistic model which can provide accurate forecasts of field performance.Using different data sources to quality control an earth model is also important to weed out erroneous data and build a realistic model which can provide accurate forecasts of field performance.

At Helix, our experience with many of the commonly used geoscience software applications coupled with our expertise in database management, allows us to complete large-scale projects in an effective and timely manner.

Integrated Multi-Disciplinary Field Studies

Helix has been involved in many integrated reservoir studies which include all the subsurface disciplines including geophysics, petrophysics, geology and engineering. By working in an integrated manner, the best possible reservoir description with the available data can be achieved and this leads to more reliable predictions of reservoir performance from the final reservoir models.