An Integrated Reservoir Modelling and Evolutionary Algorithm for Optimizing Field Development in a Mature Fractured Reservoir

Author(s):  
C. H. Sambo ◽  
H Hematpour ◽  
S. Danaei ◽  
M. Herman ◽  
D. P. Ghosh ◽  
...  
2008 ◽  
Author(s):  
Loic Bazalgette ◽  
Kike Beintema ◽  
Najwa al Yassir ◽  
Peter Swaby ◽  
Pascal D. Richard ◽  
...  

2021 ◽  
Author(s):  
Pavel Dmitrievich Gladkov ◽  
Anastasiia Vladimirovna Zheltikova

Abstract As is known, fractured reservoirs compared to conventional reservoirs have such features as complex pore volume structure, high heterogeneity of the porosity and permeability properties etc. Apart from this, the productivity of a specific well is defined above all by the number of natural fractures penetrated by the wellbore and their properties. Development of fractured reservoirs is associated with a number of issues, one of which is related to uneven and accelerated water flooding due to water breakthrough through fractures to the wellbores, for this reason it becomes difficult to forecast the well performance. Under conditions of lack of information on the reservoir structure and aquifer activity, the 3D digital models of the field generated using the hydrodynamic simulators may feature insufficient predictive capability. However, forecasting of breakthroughs is important in terms of generating reliable HC and water production profiles and decision-making on reservoir management and field facilities for produced water treatment. Identification of possible sources of water flooding and planning of individual parameters of production well operation for the purpose of extending the water-free operation period play significant role in the development of these reservoirs. The purpose of this study is to describe the results of the hydrochemical monitoring to forecast the water flooding of the wells that penetrated a fractured reservoir on the example of a gas condensate field in Bolivia. The study contains data on the field development status and associated difficulties and uncertainties. The initial data were results of monthly analyses of the produced water and the water-gas ratio dynamics that were analyzed and compared to the data on the analogue fields. The data analysis demonstrated that first signs of water flooding for the wells of the field under study may be diagnosed through the monitoring of the produced water mineralization - the water-gas ratio (WGR) increase is preceded by the mineralization increase that may be observed approximately a month earlier. However, the data on the analogue fields shows that this period may be longer – from few months to two years. Thus, the hydrochemical method within integrated monitoring of development of a field with a fractured reservoir could be one of the efficient methods to timely adjust the well operation parameters and may extend the water-free period of its operation.


Author(s):  
L. Bazalgette ◽  
K. Beintema ◽  
N. al Yassir ◽  
P. Swaby ◽  
P.D. Richard ◽  
...  

Author(s):  
S. V. Matkivskyi

To increase the efficiency of appraisal and development of hydrocarbon fields, the most effective technology is the integration of geological and field information into modern software systems for reservoir simulation, starting from the input of seismic data to field development planning based on a reservoir models. Building a three-dimensional geocellular models is an integral part of hydrocarbon reservoir management. After all, the reservoir model built to solve the main tasks of reservoir management such as: achieve the highest recovery and maximum economic effect. The modern level of software and the advances in computer processing power and graphics allows you to operate with big data, provides an opportunity for its systematization, statistical processing and detecting the basic laws between them. The availability of reliable data plays important role in the creation of a database for reservoir models. The input data for reservoir modelling of the fields, which were discovered in the 1960s, are the results of complex studies, characterized by insufficient accuracy and low quality. Lack of reliable and high-quality data brings significant uncertainty in all stages of modelling from volumetric estimation to the history match and forecasting. The necessity of using available geological and field information has led to the development of new methodological principles and approaches to reservoir modelling in conditions of limited initial information. According to the results of numerous studies, a significant number of methods have been developed, which are successfully used in the design of simulation models of hydrocarbon reservoirs of JSC “Ukrgazvydobuvannya”. Thanks to the use of new approaches to the building of 3D-models, high accuracy and reliability of the simulation results under such conditions is achieved.


2012 ◽  
Author(s):  
Abel Andres Castro ◽  
Sandrya Laksana ◽  
Muhaned Shaiebi ◽  
Tarek Alkhemri ◽  
Aljilani Almhedwi ◽  
...  

1999 ◽  
Vol 39 (1) ◽  
pp. 537
Author(s):  
F.X. Jian

3D stochastic reservoir modelling is an emerging new technology for the oil and gas industry and is increasingly used by oil and gas companies as a tool to support major business decisions in field development planning, and the acquisition and management of petroleum assets. However, the potential benefit that 3D stochastic reservoir modelling can offer is still overlooked by many asset teams. Conventional methods are often still applied for field development planning and reserve estimation, where over-simplified geological models are used and reservoir uncertainties are substantially under-estimated. This is one reason why the oil and gas industry does not have a good track record in estimating reserves and field development planning.3D stochastic reservoir modelling methods that incorporate the structural-stratigraphic framework, facies and petrophyscial properties can ensure that the reservoir models fully describe reservoir heterogeneity. This in turn lays a sound foundation for field development planning. The 3D stochastic reservoir modelling methods also quantify and reduce uncertainties in various aspects of the reservoir. This allows a field development plan to be more robust yet flexible enough to take the advantage of upside reserve potential and to be economically sound if the downside case occurs. Based on quantification of uncertainties, optimal well positions and well paths can be designed to maximise oil and gas recovery.


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