New Wave Energy has a unique suite of technologies providing entirely new information about reservoirs for better understanding of precisely where fluids are and how they will flow through the reservoir. These technologies provide accurate forecasts to optimise reservoir performance for O&G Production and subsequent Carbon Storage.
All the NWE technologies have been exhaustively tested in many different settings. Briefly these include the following:
Acoustic Dispersivity (AD) analysis –Identifies the distribution of hydrocarbons within the reservoir using a unique and reliable realisation of seismic dispersion technology using high quality ocean bottom or broadband towed streamer data. A short article available here illustrates how dispersivity analysis can help to make a field development more cost-effective. It is based on public-access data from an Australian offshore oil-field.
Seismic Reservoir Permeability – Provides estimates of permeability variation inside the reservoir between well data control points. This approach uses AD analysis and Machine Learning and can be very helpful in reservoir simulation.
Artificial Intelligence (AI) and Machine Learning (ML) - Several approaches are used to integrate all newly derived and interpreted data with-well based control points. This provides accurate estimates of all reservoir parameters throughout the entire reservoir volume which can be used to generate updated reservoir models.
High Resolution Ocean Bottom Nodes (OBN) Seismic – A purely reservoir focussed approach has culminated in the design of NWE’s unique operational system delivering low cost yet superlative quality seismic in a highly efficient manner. Multi-functional ancillary equipment is deployed to allow a single vessel to acquire several types of survey combined in a single operation with significant reductions in overall carbon footprint.
Sound Sabre – A proprietary approach to Permanent Reservoir Monitoring (PRM) using time-lapse seismic data, providing monitoring pressure and fluid changes in the reservoir. This innovative, node-based system provides high definition monitoring of pressure and fluid changes essential to understanding reservoir performance and reserves recovery. The low-cost deployment of this technology means that it can be applied to fields of any size. The technology is illustrated here.
Process - We start with the highest quality imaging using the latest high-resolution ocean bottom seismic. This provides a base dataset that is analysed to determine the hydrocarbon distribution using Acoustic Dispersivity (AD) analysis, and the permeability pathways using AD and ML. This critical information allows new and established fields to be developed with more precision and with higher reserves.
During production a low-cost highly sensitive surveillance system (SoundSabre) tracks the reservoir fluids and pressure changes to determine if any intervention is required or if any hydrocarbons are not being effectively produced.
Binding this together we have advanced Artificial Intelligence (AI) and Machine Learning (ML) algorithms which enable key reservoir metrics to be determined from large streamed datasets plus the smart interpretation of selected datasets for reservoir performance information.
Carbon Capture and Storage (CCS) – The data obtained from a full NWE project is ideally suited to provide qualification and certification as to the suitability of any reservoir for long term secure storage