Computation of Productivity Index With Capillary Pressure Included and Its Application in Interpreting Production Data From Low-Permeability Oil Reservoirs

SPE Journal ◽  
2012 ◽  
Vol 17 (04) ◽  
pp. 1041-1046 ◽  
Author(s):  
Kewen Li ◽  
Zengwei Chen

Summary Capillary pressure might be ignored in high-permeability rocks, but it cannot be neglected in low-permeability rocks. To study the effect of capillary pressure on production performance in low-permeability oil wells or reservoirs, the formulas for calculating water cut and dimensionless total and oil productivity indices (PIs) were derived by considering capillary pressure. PI and water-cut data were computed using the new models with capillary pressure included. The results proved that PI increases with water cut in high-permeability rocks but decreases with the increase in water cut within a specific range in low-permeability rocks. Waterflooding experiments were then conducted in core samples with low and high permeabilities. The experimental waterflooding data demonstrated the same relationship between PI and water cut that was proved in the new PI model. Finally, the PI data were calculated using production data from oil wells, and the results were compared with the experimental data of the PI determined from coreflooding tests. The curves of PI vs. water cut, obtained from the production data of oil producers, were consistent with those inferred from waterflooding data in core samples. Note that the core plugs were sampled from the same oil wells. The new PI model was used to explain the difference in production performance between high- and low-permeability oil wells.

SPE Journal ◽  
2017 ◽  
Vol 22 (05) ◽  
pp. 1596-1608 ◽  
Author(s):  
Dashun Wang ◽  
Di Niu ◽  
Huazhou Andy Li

Summary Several interwell connectivity models such as multiple linear regression (MLR) and the capacitance model (CM) have been proposed to model waterflooding performance in high-permeability reservoirs on the basis of observed production data. However, the existing methods are not effective at characterizing the behavior of transient flows that are prevalent in low-permeability reservoirs. This paper presents a novel dynamic waterflooding model that is based on linear dynamical systems (LDSs) to characterize the injection/production relationships in an oil field during both stationary and nonstationary production phases. We leverage a state-space model (SSM), in which the changing rates of control volumes between injector/producer pairs in the reservoir of interest serve as time-varying hidden states, depending on the reservoir condition. Thus, the model can better characterize the transient dynamics in low-permeability reservoirs. We propose a self-learning procedure for the model to train its parameters as well as the evolution of the hidden states only on the basis of past observations of injection and production rates. We tested the LDS method in comparison with the state-of-the-art CM method in a wide range of synthetic reservoir models including both high-permeability and low-permeability reservoirs, as well as various dynamic scenarios involving varying bottomhole pressure (BHP) of producers, injector shut-ins, and reservoirs of larger scales. We also tested LDS on the real production data collected from Changqing oil field containing low-permeability formations. Testing results demonstrate that an LDS significantly outperforms CM in terms of modeling and predicting waterflooding performance in low-permeability reservoirs and various dynamic scenarios.


2013 ◽  
Vol 16 (04) ◽  
pp. 412-422
Author(s):  
A.M.. M. Farid ◽  
Ahmed H. El-Banbi ◽  
A.A.. A. Abdelwaly

Summary The depletion performance of gas/condensate reservoirs is highly influenced by changes in fluid composition below the dewpoint. The long-term prediction of condensate/gas reservoir behavior is therefore difficult because of the complexity of both composition variation and two-phase-flow effects. In this paper, an integrated model was developed to simulate gas-condensate reservoir/well behavior. The model couples the compositional material balance or the generalized material-balance equations for reservoir behavior, the two-phase pseudo integral pressure for near-wellbore behavior, and outflow correlations for wellbore behavior. An optimization algorithm was also used with the integrated model so it can be used in history-matching mode to estimate original gas in place (OGIP), original oil in place (OOIP), and productivity-index (PI) parameters for gas/condensate wells. The model also can be used to predict the production performance for variable tubinghead pressure (THP) and variable production rate. The model runs fast and requires minimal input. The developed model was validated by use of different simulation cases generated with a commercial compositional reservoir simulator for a variety of reservoir and well conditions. The results show a good agreement between the simulation cases and the integrated model. After validating the integrated model against the simulated cases, the model was used to analyze production data for a rich-gas/condensate field (initial condensate/gas ratio of 180 bbl/ MMscf). THP data for four wells were used along with basic reservoir and production data to obtain original fluids in place and PIs of the wells. The estimated parameters were then used to forecast the gas and condensate production above and below the dewpoint. The model is also capable of predicting reservoir pressure, bottomhole flowing pressure, and THP and can account for completion changes when they occur.


SPE Journal ◽  
2007 ◽  
Vol 12 (02) ◽  
pp. 209-216 ◽  
Author(s):  
Jagannathan Mahadevan ◽  
Mukul Mani Sharma ◽  
Yannis C. Yortsos

Summary The flow of a gas toward the wellbore of a production well will result in the evaporative cleanup of water blocks, if the latter exist. This occurs primarily due to gas expansion. This paper presents for the first time a model to calculate the rate at which such water blocks are removed, for either fractured or unfractured gas wells. The model allows us to compute the impact of evaporative cleaning on well productivity. The removal of water first occurs by gas displacement. Evaporative cleanup is caused by gas expansion. The resulting saturation profile is qualitatively different for low- or high-permeability rocks. As a consequence, the increase in gas relative permeability, or the well productivity, with time can vary depending on the rock permeability and the well drawdown. High-permeability (e.g. fractured) rocks clean up significantly faster. By contrast, low-permeability unfractured wells may require a very long time to clean up. Large pressure drawdowns, as well as the use of more volatile fluids, such as alcohols, also result in faster cleanup. A distinctive feature of the work presented is that the model equations are formulated and solved completely without the assumption of skin factors for the damage zone. Thus, the prediction of cleanup rates can be made more accurately. Introduction Water blocks in low-permeability rocks clean up much more slowly than those of higher permeability because of the smaller pore sizes and the consequent higher capillary entry pressures (Mahadevan et al. 2003). In particular, water blocks in tight gas sands are not easily cleaned up, especially in cases where the reservoir pressures are too low to initiate flow. Past studies (Tannich 1975; Holditch 1979, Parekh and Sharma 2004) have reported the effect of water displacement by gas in the cleanup of water blocks in gas wells. They showed that when the drawdown in the gas well is significantly larger than the capillary pressure, cleanup is faster. However, in cases where the drawdown becomes comparable to the capillary pressure, as is the case in depleted tight gas reservoirs, displacement alone is not sufficient to remove water from the near-wellbore region. Subsequent water removal occurs by evaporation. The flow of a fully saturated compressible gas through a water-saturated porous rock induces evaporation. Roughly, this is because the volume of the gas, and hence its capacity for water content, increases as pressure declines. In past studies, the impact of evaporation caused by the flow of gas has been neglected. The focus of this paper is precisely on this regime in gas wells, in which the drawdown is comparable in magnitude to the capillary entry pressure, and cleanup of water blocks is by evaporation.


2014 ◽  
Vol 136 (3) ◽  
Author(s):  
Changhui Cheng ◽  
Kewen Li

There have been many models to estimate reserves and predict oil production performance using the relationship between water cut, fw, (or water-oil ratio, WOR) and cumulative oil production (Np) in the literature. However, it is difficult to choose the suitable models for specific reservoirs. On the other hand, consistency and accuracy are yet to be improved. In this study, several frequently used models for predicting cumulative oil production using water cut have been compared using production data from low permeability reservoirs. These models include the conventional model, the Ershaghi–Omoregie model, the Purvis model, the Arps model, the Bondar–Blasingame model, and the Warren model. All of the models were applied to production data, respectively, and then compared in one single figure, that is, fw versus Np, for one set of production data from both reservoirs and the core sample. To do so, it facilitated the comparison of different models. Otherwise, it may be difficult to make the comparison for all of the models because the models have different dependent variables. The analysis and discussion to the results have been conducted. The results have demonstrated that no model could fit all of the cases studied. Each model has the advantages and limitations. However, the Warren model is better than the other five models statistically. It fits most of the cases studied satisfactorily.


2021 ◽  
Vol 2021 ◽  
pp. 1-6
Author(s):  
Feng Liu ◽  
Yancheng Liu ◽  
Xiao Guo ◽  
Fei Yang ◽  
Ahuan Zhou ◽  
...  

Oil production and water cut prediction is one of the most important research contents of reservoir production performance analysis. The growth curve method has the advantages of the general water drive curve method and the combined solution model method with fewer parameters and simple and fast calculation process and so it has been widely used in well production prediction. Based on the analysis of 4W and 4Y4 model growth curves, a new generalized growth curve of the well production performance is proposed. The new model can forecast cumulative oil production, annual oil production, and water cut at different oilfield development periods. A MATLAB program was developed to derive the parameters in the new model. The built model was applied to the production data of the Samattalol oilfield and Daqing oilfield. The predicted cumulative oil production, annual oil production, and water cut are all close to the actual production data, and satisfactory results are obtained, which demonstrates the practicability and reliability of the new model.


We examine theoretically the creep closure of subglacial tunnels cut into basal till, generalizing Nye’s classical analysis of tunnel closure in glacier ice to rheologies in which the creep rate depends on effective pressure (the difference between total pressure and pore-water pressure). The solutions depend critically on a dimensionless permeability parameter. For the appealingly simple Boulton–Hindmarsh rheology in which strain rate depends on powers of applied stress and effective pressure, solutions to the closure problem may not exist; this is related to the existence of a ‘failed’ zone next to the channel, where piping occurs, and also to a non-physical degeneracy of the assumed rheology, whereby the viscosity is indeterminate at zero effective pressure. Consideration of the failed zone allows solutions to be obtained and shows that the closure characteristics of high permeability tills and low permeability tills are very different.


2014 ◽  
Vol 912-914 ◽  
pp. 765-768
Author(s):  
Gang Xie ◽  
Hai Jun Yan ◽  
Deng Feng Ju ◽  
Zhi Ma ◽  
Ai Jun Wei ◽  
...  

In view of rapid water cut increasing and poor oil recovery with banded distribution with high permeability belt in sandstone reservoir of Huabei Oilfield,the electrical bridge technique for water shut-off is proposed. Based on years practice of vertical wells and similarity in Ohms and Darcys laws,the electrical model involved variable resistors series/parallel instead of reservoir distribution,the arm-bridge circuit combined with signal detection. Then response of the circuit by variable water shut-off could be simulated. The results indicated that,the driving pressure and seepage quantity at mid-low permeability channel could be greatly improved by the strong in-depth water-plugging at high permeability channel (L=20~40m),and the low permeability flowrate increased to a maximum of 55.3%. Then the gel dam in-depth fluid diversion technique was verified by water plugging and circuit simulation. The conclusions provided a valuable guidance for horizontal wells development enhanced.


2012 ◽  
Vol 594-597 ◽  
pp. 2644-2647
Author(s):  
Cheng Fu ◽  
Bin Huang

Through relative permeability, we can calculate core water cut ratio, dimensionless fluid productivity index and production index curve. And according to the data provided by the site, we can calculate actual water-cut, dimensionless fluid productivity index and production index curve in demonstration zone. Then we compare with the theoretical curves. By using combination reservoir engineering theory and dynamic production data method, we study the variation law of reservoir liquid producing capacity.


2009 ◽  
Author(s):  
Daniel Daparo ◽  
Luis Soliz ◽  
Eduardo Roberto Perez ◽  
Carlos Iver Vidal Saravia ◽  
Philip Duke Nguyen ◽  
...  

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