Assisted Creation and Usage of Material Balance Models for Production Forecasting as a Part of Integrated Field Management

Abstract

For decades, computer simulation has been an inevitable part of hydrocarbon reservoir development. 3D reservoir models of productive reservoirs and gathering system pipeline models exist for almost all operated fields. The recent concept of digital oilfield relies much upon performing computer simulation in order to automate the development process. Operational field development management is one of the processes that can be automated within this concept. However, conventional computer simulation techniques based on the above-mentioned 3D reservoir models are ill-suited for automation of operational development management. This can be attributed to the fact that creating, history matching, updating, and calculations of such integrated models are very time-consuming. Integrated models based on simplified models of productive reservoirs can be regarded as a basic means of operational field management. A case in point are models built on material balance equations. However, this approach has its drawbacks. The main problem lies in having to do double the work. One has to have two models for each productive reservoir: one model for operational development management (simplified model) and the other for conventional modeling (3D reservoir model). This paper considers solving the stated problem by transforming a conventional 3D reservoir model of a productive reservoir into a material balance model and provides comparative analysis of both modeling approaches.

Demand Prediction of Production Materials and Simulation of Production Management

“…Hence, the management of production materials is crucial to the smooth completion of production tasks [10][11][12][13][14][15][16]. As various intelligent manufacturing technologies and intelligent production equipment enter the production workshop, there is a growth in the types and consumption of different production materials, in the pursuit of a short time interval between production processes [17][18][19][20][21]. The fluctuations in the demand for production materials by production equipment arise from the uncertainty of the demand by consumer orders.…”