Increasing confidence in full field modelling and water flood planning for a giant reservoir under primary depletion through Material Balance modelling

1st International Conference on Petroleum Technology and Petrochemicals

石油天然气工程

Al-Joumaa, J.H.^1 ; Al-Jawad, M.S.^2

Petroleum Technology Department, University of Technology-Iraq, Baghdad, Iraq^1

Baghdad University, Petroleum Engineering Department, Baghdad, Iraq^2

关键词: Development patterns;    Physical constraints;    Physical information;    Production forecasts;    Reservoir development;    Reservoir performance;    Reservoir simulation;    Water injection rate;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/579/1/012027/pdf
DOI  :  10.1088/1757-899X/579/1/012027

来源: IOP

【 摘 要 】

One of the principle inputs to project economics and all business decisions is a realistic production forecast and a practical and achievable development plan (i.e. waterflood). Particularly this becomes challenging in supergiant oil fields with medium to low lateral connectivity. The main objectives of the Production Forecast and feasibility study for water injection are: 1- Provide an overview of the total expected production profile, expected wells potential/spare capacity, water breakthrough timing and water cut development over time 2- Highlight the requirements to maintain performance, suggest the optimum development pattern 3- Increasing confidence in business decisions to develop the reservoir in question The main tool used for these purposes is a sophisticated reservoir simulation software, namely CMG, since it can predict reservoir behavior, honor physical constraints and capture the heterogeneity within the reservoir to accurately predict performance. However, the starting point for this kind of complicated studies needs to start from the basics, in order to understand the big picture and be able to plan properly for the scope to be delivered, hence, utilizing analytical tools like MBAL becomes quite necessary, if not crucial, to the success of full field modelling and choosing an optimum water flood pattern and design. This paper covers the methodology for building the reservoir component utilizing a Material Balance model, of which the results will be used as an input to reservoir simulation to evaluate and accurately predict reservoir performance, which directly feeds into planning for water flooding projects and selection of an optimum flood pattern. A Tank model was built at first to assess and understand the driving forces (energies) of the reservoir in question, utilizing pressure and production data from legacy wells, the prepared model is also supported by geological and petro physical studies to give representative results. Acquired Static Bottom Hole Pressures (SBHPs) in wells were used as anchor points for the tank pressure and to test the validity of the history match. Multiple analytical methods to QC the results and STOIIP volume were conducted, e.g. the Havlena-Odeh method. This methodology has been tested successfully in the stated super giant oil field, in which the reservoir in question is a carbonate rock formation. An example of this is covered in the paper. It was concluded that utilizing a history matched and coherent MBAL model before conducting a detailed reservoir simulation study can save a lot of time and effort by providing guidance to the path which needs to be followed, and sheds light on the critical elements to be looked after. This has also helped to uncover the driving mechanisms and energies in the reservoir, hence allowing the engineer to plan for the necessary voidage replacement and water injection rates to sustain the reservoir pressure and pattern development. Another technical advantage of the described method is the higher sustainability of the model. The suggested method, in combination with geological and petro physical information available, can be applied to majority of the reservoirs. This combination is paramount to ensure optimum time and planning that is followed for each reservoir development study that involves water flooding.