Simple tools for forecasting waterflood performance

Can, Bunyamin; Kabir, C.S.

doi:10.1016/j.petrol.2014.05.028

Cited by 28 publications

(7 citation statements)

References 26 publications

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“…The decline-curve analysis is a cornerstone of reservoir-performance prediction tool. Rooted in Arps relation and shown recently about the tool's effectiveness in predicting performance in waterfloods (Can and Kabir 2014), the hyperbolic relation is given as…”

Section: Discussionmentioning

confidence: 99%

Waterflood performance evaluation in a chalk reservoir with an ensemble of tools

Olsen¹,

Kabir

2014

Journal of Petroleum Science and Engineering

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Section: Discussionmentioning

confidence: 99%

Waterflood performance evaluation in a chalk reservoir with an ensemble of tools

Olsen¹,

Kabir

2014

Journal of Petroleum Science and Engineering

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“…It is shown by Can and Kabir [16] that the Arps method provides the smallest average error among the six methods for field data. Wells in the reservoir vault that have the highest reservoir capacity and have high bfactors, while wells in the periphery have low b-factors due to a thinner productive reservoir [17].…”

Section: Introductionmentioning

confidence: 99%

Study on Application of Arps Decline Curves for Gas Production Forecasting in Senegal

Dieng,

Poplygin

2023

IJE

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The purpose of this study is to evaluate the feasibility of using methods for predicting the flow rates of gas wells in fields in Senegal. Accurate forecasting of natural gas production allows you to correctly set the operating mode of wells and design onshore infrastructure. One of the gas fields of Senegal was chosen as the object of study, where deposits were discovered within the exploitation perimeters in the Campanian and Santonian sandstone horizons. Gas formations have high porosity and permeability values, as well as high formation temperatures. Gas well flow rates can be predicted using hydrodynamic models, mathematical models (hyperbolic, etc.) and other methods. This study assessed the possibility of using Arps curves for long-term forecasting of gas flow rate and comparing the forecasting results with actual data. Comparison of Arps curves and actual gas flow rates for wells made it possible to note a discrepancy in the forecast results and actual values of more than 20%. These differences arose for two reasons. Deviations at the initial stage of well operation (6 months), which is associated with the adjustment of the technological operating mode of the well and the establishment of constant parameters of rocks near the wellbore. The second reason is well repairs, which change the properties of rocks near the wellbore. In general, Arps curves of exponential type showed high convergence between predicted and actual values, which makes it possible to use them in predicting the flow rate of gas wells in Senegal.

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“…The theoretical basis of traditional water flooding characteristic curve derivation is the semi-log linear relationship between oil-water relative permeability ratio (K ro /K rw ) and water saturation (S w ) (Craft and Hawkins 1959;Wenjun and Zhengke 2000;Goda et al 2007;Roghanian and Reza 2012;Can and Kabir 2014;Cuo and Chengfang 2017;Li et al 2021). However, with the continuous development of water flooding, when the reservoir enters the ultra-high water cut stage, the semi-log relationship between oil-water relative permeability ratio and water saturation is no longer completely linear, and the curve will bend downward (Bondar and Blasingame 2002;Jian 2013;Zhaojie and Fengpeng 2013;Chunlei 2014;Cao et al 2021).…”

Section: Introductionmentioning

confidence: 99%

A new water flooding characteristic curve at ultra-high water cut stage

Feng

Zhang

et al. 2022

J Petrol Explor Prod Technol

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A large number of field practices show that the water flooding characteristic curve will appear up-warping phenomenon in ultra-high water cut stage, and the conventional water flooding characteristic curve is difficult to accurately characterize. In this work, a new expression of oil–water relative permeability ratio (Kro/Krw) and water saturation (Sw) is proposed based on the statistical analysis of experimental data of oil–water relative permeability at high displacement multiples. The new expression has a simpler form and fewer unknown parameters. The results show that the expression can accurately fit the later section of the conventional relative permeability ratio curve, and the correlation coefficient is above 0.996. On this basis, a new type of water flooding characteristic curve suitable for the whole process of water flooding reservoir development is established by combining the reservoir engineering method. Numerical simulation and field application show that the new curve has higher accuracy and wider applicability than conventional curve. The prediction error of recoverable reserves calculated by the new curve is only 0.22%, and the error of geological reserves is less than 5%. According to the comparison between the actual data and the predicted data, the actual cumulative oil production is 2.579 × 106 t, the predicted by the new curve is 2.569 × 106 t, the actual ultimate oil recovery is 50.235%, and the predicted is 50.04%. The predicted value is consistent with the actual one. It provides a more reliable method to accurately predict reservoir development indexes and guides the oilfield’s subsequent decision-making.

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Simple tools for forecasting waterflood performance

Cited by 28 publications

References 26 publications

Waterflood performance evaluation in a chalk reservoir with an ensemble of tools

Waterflood performance evaluation in a chalk reservoir with an ensemble of tools

Study on Application of Arps Decline Curves for Gas Production Forecasting in Senegal

A new water flooding characteristic curve at ultra-high water cut stage

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