Experimental Design in Petroleum Reservoir Studies by Mohammad Jamshidnezhad

By Mohammad Jamshidnezhad

One of many major tasks for reservoir engineers is reservoir learn, which starts off whilst a reservoir is explored and it keeps till the reservoir abandonment. Reservoir research is a continuing method and thanks to quite a few purposes resembling complexity on the floor and constrained facts, there are numerous uncertainties in reservoir modelling and characterization inflicting problems in moderate history-matching and prediction levels of research. Experimental layout in Petroleum Reservoir Studies concentrates on experimental layout, a depended on procedure in reservoir administration, to investigate and take the guesswork out of the uncertainties surrounding the underdeveloped reservoir. Case experiences from the Barnett shale and fractured reservoirs within the center East are only many of the sensible examples incorporated. different suitable discussions on uncertainty in PVT, box functionality info, and appropriate results of experimental layout all assist you achieve perception into how higher info can enhance size instruments, your version, and your reservoir assets.

  • Apply the sensible wisdom and information now with real-world case stories included
  • Gain self belief in deviating doubtful parameters surrounding the underdeveloped reservoir with a spotlight on program of experimental design
  • Alleviate the various guesswork in history-matching and prediction words with causes on uncertainty analysis

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Among the most common numerical methods is the finite difference method, whereby, using Taylor’s series, some terms are truncated and cause truncation errors. 7) dy μ @y   kz @P dD 2 ρg w 52 dz μ @z Experimental design in reservoir engineering 59 The above continuity equation results in a partial differential equation of: kx @2 P @2 P @2 P @P 1 k 1 k 5 φμc y z 2 2 2 @x @y @z @t which can be numerically solved using standard finite difference approximations 2 2 2 for the derivative terms of @@xP2 ; @@yP2 ; @@zP2 ; @P @t : The x, y, and z-coordinate must be subdivided into a number of several grid cells, and the time coordinate must be divided into discrete time steps.

33 Typical oil rate and bottom-hole pressure data entered for reservoir modeling. 4 Mathematical modeling Mathematical methods are perhaps the most common methods used by petroleum engineers. Material balance models, decline curve analysis models and well test models are three simple mathematical models that are widely used for reservoir characterization. Although nowadays some user-friendly software packages can be used in these simple models, hand calculations or graphical methods are also sufficient.

Often, we model the lighter components individually, and group heavier components into a pseudo-component. If nonhydrocarbons are involved, these may also have to be modeled separately. In flash calculations, using an equation of state (such as Peng-Robinson), mole fractions of components in oil and gas phases are calculated. 57) where zi is the overall mole fraction of feed, K is the K-value (5y/x), V is mole of the gas phase and subscript i is for component i. 46 Typical PVT data for compositional modeling.

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