Clarifying and Improving the Application of Waterflood Analytical Methods in X-Plot Conditions – From Empirical Approach to Analytical Approach

Yang, Zhengming

doi:10.2118/185726-ms

Cited by 12 publications

(2 citation statements)

References 22 publications

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“…In a more recent study, Yang (2017) [24] declared that the waterflood analytical methods are obtained by solving 1D Buckly-Levertt equations [25] in the X-plot conditions. The dependent variable can be classified into two groups: cumulative production (oil, water, liquid or recovery factor) and water-cut feature variables.…”

Section: X-plotmentioning

confidence: 99%

“…Bondar and Blasingame (2002) [15] mentioned that in all of the cases they considered, the X-plot technique gave the least consistent results compared to the other methods used. Contrary, Yang (2017) [24] reported that applying of X-plot method in analytical approach reduces uncertainty in the EUR determination. In this study the X-plot of the three oil wells show that the late datapoints formed a straight-line trend as described in Figures 21 to 23…”

Section: X-plotmentioning

confidence: 99%

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Production Data Analysis Techniques for the Evaluation of the Estimated Ultimate Recovery (EUR) in Oil and Gas Reservoirs

Elmabrouk

Mahmud

2022

HighTech. Innov. J.

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The calculation of oil reserves (estimate ultimate recovery, EUR) is required for reservoir management. It is important to differentiate between oil reserves and oil resources. The latter is roughly defined as the sum of recoverable and unrecoverable volumes of oil in place; whereas, the oil reserves can be defined as those amounts of oil anticipated to be commercially recoverable from a given date under defined conditions. However, there is always uncertainty when making reserve estimates, and the main source of uncertainty is the lack of available geological data. Depending on the quantity and quality of the available data, different methods are used for the evaluation of the EUR. A number of essentially straight-line extrapolation techniques (production data analysis) have been proposed to estimate the EUR for oil and gas wells. Thus, a detailed analysis of past performance of oil and water production data is required in order to predict the future performance of the oil and gas wells. This work utilized seven straight-line extrapolation techniques to estimate and compare the values of EUR of three oil wells from the same reservoir. The comparison shows very similar estimated EUR. Doi: 10.28991/HIJ-2022-03-01-09 Full Text: PDF

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Section: X-plotmentioning

confidence: 99%

Section: X-plotmentioning

confidence: 99%

Production Data Analysis Techniques for the Evaluation of the Estimated Ultimate Recovery (EUR) in Oil and Gas Reservoirs

Elmabrouk

Mahmud

2022

HighTech. Innov. J.

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Further study on oil/water relative permeability ratio model and waterflooding performance prediction model for high water cut oilfields sustainable development

Yang

2024

J Petrol Explor Prod Technol

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The accuracy of predicting waterflooding performance is crucial in determining the scale of investment for oilfield development. However, existing common waterflooding prediction models often relies on assumptions that may not apply universally or lack theoretical derivation through statistical analysis. This has led to unsatisfactory prediction accuracy and multiple potential solutions. To address these limitations, it is proposed to incorporate the oil/water relative permeability ratio model into the derivation process of waterflooding prediction models. Initially, an evaluation of prevalent oil/water relative permeability ratio models is conducted, along with an analysis of their primary constraints. Additionally, the applicability of the analytical relative permeability model is thoroughly examined. Building upon the analytical relative permeability model and a modified Welge equation, a new waterflooding model is formulated, encompassing all pertinent physical coefficients. Notably, this model aligns seamlessly with the commonly used Arps’ decline curve, while extending its applicability to a broader range of conditions. Moreover, it can be simplified to generate typical water drive curves under suitable circumstances. The semi-log relationship between oil/water relative permeability ratio and water saturation is further simplified into a linear relationship or a multi-term formula. Compared with the traditional waterflooding model, the new model proposed in this research has a wider application range and can be applied to oilfield at high water cut. At the same time, the new model clarifies the coefficient of waterflooding curve A and the physical meaning of parameter 7.5 in Tong’s chart method for the first time. The new model proposed in this research further enriches the connotation of waterflooding theory and has certain application significance.

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Modeling of well performance during oil reservoir development on the elastic-water-drive mode using regression analysis

Afanaskin,

Volpin,

Yudin

et al. 2023

Georesursy

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One of the important tasks of analyzing oil field development is predicting well performance. For this purpose, displacement characteristics are often used, which represent the dependence of some indicators on others. To determine the parameters of these dependencies, regression analysis of historical data is used. Dependences of the choice of watering production wells with water pumped into injection wells, water or the law of the exhausted aquifer. A feature of displacement characteristics is generally considered to be that they can only be used when fluid flows in the formation are established. This is due to the fact that with the classical approach, displacement of characteristics is not observed in the explicit form of well interference. Therefore, the search for displacement characteristics, with the help of which we can talk about the mutual influence of wells, is an important factor. This is the subject of this work. Water cut and water-oil ratio (WOR) are related by a well-known formula. The paper proposes regression models for WOR. They obtained the result taking into account the classical logic of the WOR from accumulated oil production. Water cut is calculated from water saturation. The proposed regression models of water saturation are based on the analysis of equations of theories of two-phase filtration in difference form. 11 watering models were studied, two including classical ones and 9 new ones. Dependencies for reservoir and bottomhole pressures were also developed. The proposed models are intended to analyze the operation of wells during the development of an oil reservoir in an elastic-water-pressure mode. The models were tested on a real field and their effectiveness was analyzed. Some new models perform well in a selection of tests. In particular, all the proposed models give better results than the classical model: the logarithm of the water-oil ratio from the accumulation of oil production.

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Clarifying and Improving the Application of Waterflood Analytical Methods in X-Plot Conditions – From Empirical Approach to Analytical Approach

Cited by 12 publications

References 22 publications

Production Data Analysis Techniques for the Evaluation of the Estimated Ultimate Recovery (EUR) in Oil and Gas Reservoirs

Production Data Analysis Techniques for the Evaluation of the Estimated Ultimate Recovery (EUR) in Oil and Gas Reservoirs

Further study on oil/water relative permeability ratio model and waterflooding performance prediction model for high water cut oilfields sustainable development

Modeling of well performance during oil reservoir development on the elastic-water-drive mode using regression analysis

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