C&P: "Efficient Optimization and Automated History Matching for Fracture-Stimulated Wells in Condensate Reservoirs"

Speaker: Dr. Andrey Filippov
Speaker Dr. Andrey Filippov
Dr. Andrey Filippov has more than 30 years of international experience in oil and gas industry, ceramic materials and electronics components industry and leading academic research centers in applied mathematics, fluid dynamics and heat transfer. He received MS and PhD degrees from Moscow Lomonosov University and worked as a research ...

Dr. Andrey Filippov has more than 30 years of international experience in oil and gas industry, ceramic materials and electronics components industry and leading academic research centers in applied mathematics, fluid dynamics and heat transfer. He received MS and PhD degrees from Moscow Lomonosov University and worked as a research associate at the Institute of Mechanics (Moscow), University of Duisburg (Germany), ETH Zurich (Switzerland) and Yale University (USA) focusing in Aerosol Physics and Multiphase Fluid Dynamics. In 2001, he joined Corning Incorporated, where he worked 11 years as an individual contributor and a member of international multidisciplinary teams, conducting various research and development projects .



In 2011, Filippov joined Halliburton, where he is currently Principal Technical Advisor and manager of a Science Group, leading research and development for oil and gas drilling, hydraulic fracturing and production.



Filippov has written a number of technical reports, authored 33 patent applications, with 17 granted patents, and published 52 technical papers in peer-reviewed journals

Full Description

The interaction between flowing hydrocarbons, water, and matrix must be well understood to determine the limitations of gas production from fractured reservoirs. An efficient numerical model was built using simplified geometry combined with transient analysis of pressure distribution in an extended fracture-stimulated domain of a condensate reservoir with detailed accounting for gas condensation and water flow. The active set method is chosen for multivariable optimization of fracture stage and automated history matching.

Using simplified geometry of fractures in the effective approach to the problem, the computational domain is defined as half of the volume between two parallel fractures and extends from the wellbore to the reservoir boundary. The model solves equations for gas, oil, and water flow, and accounts for gas-oil phase transition. To solve corresponding transient equations, the alternating direction implicit (ADI) method is used. The active set method was used for fast multivariable minimization of net present value (NPV) (stage optimization) and minimizing the discrepancy between the predicted and measured production decline curves (history matching). 

For the test simulations, the developed numerical model has been realized in a commercial software code and used for sensitivity analysis of reservoir productivity regarding changes of fracture size and spacing. In addition, it analyzes reservoir permeability in the fractured condensate reservoirs with a complete account for multiphase reservoir flows and reservoir properties. The condensation/evaporation process is simulated using the pressure/volume/temperature (PVT) tables, which are downloaded before the simulations begin. This solution is dynamically combined with a solution outside of the fractures; consequently, the pressure profile in the fractures is updated at every time step. Detailed comparison with predictions of two commercial software tools showed the model accurately predicts transient pressure fields near the fractures as well as the production decline curve. Applying the model in the economics analysis is shown to yield optimal parameters of a model fracture stage. The method is extended to provide automated history matching for available field data. Because of the simplicity of considered fracture geometry, the simulations are fast and usable in the form of application for wellbore solvers, reducing the need for coupling with 3D reservoir solvers.

Because of the geometrical simplicity and detailed account for physical/chemical effects, the developed mathematical and numerical model can be used to perform fast production decline analysis with a detailed account for condensate properties, including the phase transitions. The effectiveness of the model makes it possible to run this analysis very fast, which enables efficient fracture optimization and automated history matching.

Organizer Jonathan Godwin

When?

Wed, May. 25, 2016
11:30 a.m. - 1 p.m. US/Central

How Much?

A $5 donation for the SPE-GCS Scholarship Fund has automatically been added to the registration fee. Use OptOut in the Discount Code field if you do not wish to donate at this time.
Event has ended

Where?

Norris Conference Center – Westchase
9990 Richmond Ave., South Bldg., Ste. 102
Houston, Texas 77042
United States

Refund Policy: You must notify the SPE-GCS office of your intent to cancel at least 24 hours prior to the event date to receive a refund. For all refund inquiries, email spe-gcs@spe.org. View our Terms & Conditions for more information.