Identifying opportunities in a country’s installed capacity and proactively mitigating the limiting factors are top objectives for pursuing profitable production assurance. Although integrated asset modeling (IAMs) has been used for supporting production planning and optimization work processes, its uptake has been limited as it presents challenges when used on a large-scale for multiple oil and gas assets. For large-scale production planning, the default strategy has been to use approximations and ad-hoc methods, including spreadsheets, to fulfill such requirements.
The Large Scale Production Planning and Optimization (LSPPO) solution was developed to fill this space. LSPPO allows clients to identify production capacity issues, to make recommendations to compensate for any shortfall to ensure production sustainability without compromising reservoir recovery. The system considers the fields’ capacities, reservoir health and guidelines, operating costs, as well as future capacity and planned constraints of the countrywide surface production/injection network.
The LSPPO solution includes a simulation engine and an integrated capacity model that estimates the capacity of all the reservoirs and wells to each pre-determined export point for crude oil and associated and non-associated gas. As an integrated optimization model for the entire value chain, LSPPO supports profit maximization, including the oil and gas composition required to maximize value on downstream processes and market.
The main functionality provided by LSPPO allows:
To achieve the above functionalities, the system uses the following considerations:
The LSPPO solution captures the interactions between surface and subsurface levels, considering all different components from the wellbore up to the delivery nodes at refineries, terminals and/or gas plants. This integration allows clients to better configure the production system to reduce/eliminate the potential impact for production shortfalls, and take advantage of market opportunities while preserving all production guidelines.
The LSPPO solution is composed of an integrated network model and a set of visualization dashboards powered by automation and business process management. It operates on production and injection data, reservoir management guidelines, asset model configuration, surface network configuration, availability and uptime, plus business plan, economic and financial information.
The integrated capacity model is achieved by the integration of the three main modelling components shown in the figure below:
The Central Data Base compiles data from multiple sources and teams. A workflow connects the data and nodal analysis software to build specific well models that generate bottom-hole and wellhead performance curves, matched with the latest well production test. The integration of the well models with the Surrogate Model allows the system to calculate well performance for future time steps and to model alternate scenarios varying production and injections schemas for accelerating or decelerating injection and/or production with time.
The performance of each well is fed into a hydraulic model constructed in Nexus® software. This integrated model provides information about the capacities at each network node, which is aggregated at each hierarchy level. All runs consider the composition of the oil and gas.
To provide all the potential solutions, LSPPO can run multiple maximization runs at each time step considering different constraints at reservoir, well, facility or plan levels.
The overall solution can generate many optimum and feasible recommendations, creating a platform for efficient what-if analysis including demand-constrained and non-demand-constrained cases.
To integrate these components, the system uses a functional architecture of four layers as shown on below:
LSPPO enables the following:
LSPPO allows clients to better configure their production systems to reduce/eliminate the potential impact of production shortfalls and to take advantage of market opportunities while preserving all production guidelines.