Model’s typical curve and its application for forecasting production and recoverable reserves of oilfields

doi:10.7623/syxb201404017

ACTA PETROLEI SINICA ›› 2014, Vol. 35 ›› Issue (4): 749-753.DOI: 10.7623/syxb201404017

• Oil Field Development • Previous Articles Next Articles

Model’s typical curve and its application for forecasting production and recoverable reserves of oilfields

Chen Yuanqian, Zou Cunyou

PetroChina Research Institute of Petroleum Exploration & Development, Beijing 100083, China

Received:2014-01-07 Revised:2014-03-11 Online:2014-07-25 Published:2014-08-05

预测油田产量和可采储量模型的典型曲线及其应用

陈元千, 邹存友

中国石油勘探开发研究院北京 100083

通讯作者: 邹存友，男，1978年10月生，2002年毕业于江汉石油学院，2008年获中国地质大学（北京）博士学位，现为中国石油勘探开发研究院高级工程师，主要从事油田开发和原油发展规划方面的研究工作。Email：zoucunyou@petrochina.com.cn
作者简介:陈元千，男，1933年10月生，1956年毕业于北京石油学院钻采系，现为中国石油勘探开发研究院教授级高级工程师，主要从事油气田工程、油气田开发和储量评审等方面的工作。Email：cyq@petrochina.com.cn
基金资助:
国家重大科技专项（2011ZX05043-002）、中国石油天然气股份有限公司重大科技专项（2014E-32-03）资助。

Abstract

Abstract:

Forecasting model is an important part in reservoir engineering, which can be used not only in forecasting production and reserves of oil and gas fields, but also in forecasting increased reserves because of development adjustment or tertiary oil recovery. According to changing characteristics of production and cumulative production, the forecasting model can be divided into two types: single peak cycle-models and cumulative growth models. The former models include Weng model, Weibull model, Reyleigh model, Chen-Hao model and generalized model, and the later models include HCZ model and Hubbert model. For single peak cycle-models, the model index m and model const a, b and c can be obtained by the best match between dimensionless oilfield development data and type curve, which can be used to forecast production and reserves of oil and gas fields. Moreover, the control factors for the models are analyzed by the decompositions for the single peak cycle-model. The example shows that the type curve and matching methods proposed in this paper are practical and effective and can be applied in forecasting the production with multiple peaks.

Key words: single peak cycle-model, dimensionless, type curve, data matching, production prediction

摘要：

预测模型是油藏工程的重要组成部分。其不但可以预测油田的产量和可采储量，也可以预测油田因开发调整或三次采油方案实施增加的可采储量。预测模型按产量和累积产量的变化特征，可分为单峰周期模型和累积增长模型2类。前者包括翁氏模型、威布尔模型、瑞利模型、陈-郝模型和广义模型等，后者包括HCZ模型和哈伯特模型等。针对单峰周期模型，通过无因次处理油田实际开发数据与典型曲线的最佳拟合，能够得到模型指数m和模型常数a、b、c，即可用于对油田产量和可采储量的预测。通过对单峰周期模型的分解，分析了模型的控制因素。应用实例表明，典型曲线和拟合求解的方法是实用有效的，该方法还可用于多峰产量变化的预测。

关键词: 单峰周期模型, 无因次化, 典型曲线, 数据拟合, 产量预测

CLC Number:

TE328

Chen Yuanqian, Zou Cunyou. Model’s typical curve and its application for forecasting production and recoverable reserves of oilfields[J]. ACTA PETROLEI SINICA, 2014, 35(4): 749-753.

陈元千, 邹存友. 预测油田产量和可采储量模型的典型曲线及其应用[J]. 石油学报, 2014, 35(4): 749-753.

References

[1] 陈元千.对翁氏预测模型的推导及应用[J].天然气工业,1996,16(2):22-26.
Chen Yuanqian.Derivation and application of Weng's predication model[J].Natural Gas Industry,1996,16(2):22-26.
[2] 陈元千,胡建国.对翁氏模型建立的回顾及新的推导[J].中国海上油气(地质),1996,10(5):317-324.
Chen Yuanqian,Hu Jianguo.Review and derivation of Weng model[J].China Offshore Oil and Gas (Geology),1996,10(5):317-324.
[3] 闵琪,胡建国.预测油气田产量的Г模型[J].石油学报,1997,18(1): 63-69.
Min Qi,Hu Jianguo.A model for predicting the production of oil and gas fields[J].Acta Petrolei Sinica,1997,18(1):63-69.
[4] 陈元千,胡建国.预测油气田产量和储量的Weibull模型[J].新疆石油地质,1995,16(3):250-255.
Chen Yuanqian,Hu Jianguo.Weibull model for predicting output and reserve in an oil and gas fields[J].Xinjiang Petroleum Geology,1995,16(3):250-255.
[5] 袁自学,陈元千.预测油气田产量和可采储量的简易模型[J].中国海上油气(地质),1996,10(2):101-105.
Yuan Zixue,Chen Yuanqian.A simple model for predicting production and reserves of oil-gas fields[J].China Offshore Oil and Gas (Geology),1996,10(2):101-105.
[6] 陈元千.瑞利(Rayleigh)模型的完善推导与应用[J].油气地质与采收率,2004,11(4):39-41.
Chen Yuanqian.The perfect derivation of Rayleigh model and its application[J].Petroleum Geology and Recovery Efficiency,2004,11(4):39-41.
[7] 陈元千,郝明强.多峰预测模型的建立与应用[J].新疆石油地质,2013,34(3):297-299.
Chen Yuanqian,Hao Mingqiang.Establishment and application of multiple peak forecasting model[J].Xinjiang Petroleum Geology,2013,34(3):297-299.
[8] 李从瑞,陈元千.预测产量及可采储量的广义数学模型[J].石油勘探与开发,1998,25(4):38-41.
Li Congrui,Chen Yuanqian.Establishment and application of generalized mathematical models[J].Petroleum Exploration and Development,1998,25(4):38-41.
[9] 陈元千.油气藏工程实用方法[M].北京:石油工业出版社,1999:1-176.
Chen Yuanqian.Practical methods of petroleum reservoir engineering[M].Beijing:Petroleum Industry Press,1999:1-176.
[10] 陈元千,李璗.现代油藏工程[M].北京:石油工业出版社,2001:162-170.
Chen Yuanqian,Li Dang.Modern petroleum reservoir engineering[M].Beijing:Petroleum Industry Press,2001:162-170.
[11] 胡建国,陈元千,张宗盛.预测油气田产量的新模型[J].石油学报,1995,16(1):79-86.
Hu Jianguo,Chen Yuanqian,Zhang Zongsheng.A new model to predict production rate and recoverable reserves of oil and gas fields[J].Acta Petrolei Sinica,1995,16(1):79-86.
[12] 陈元千,胡建国,张栋杰.Logistic模型的推导及自回归方法[J].新疆石油地质,1996,17(2):150-155.
Chen Yuanqian,Hu Jianguo,Zhang Dongjie.Derivation of Logistic model and its self-regression method[J].Xinjiang Petroleum Geology,1996,17(2):150-155.
[13] 陈元千,袁自学.预测油气田产量和可采储量的新模型[J].石油学报,1997,18(2):84-88.
Chen Yuanqian,Yuan Zixue.A new model for predicting production and reserves of oil and gas fields[J].Acta Petrolei Sinica,1997,18(2):84-88.
[14] 陈元千,郭二鹏.新型油田产量递减模型的建立与应用[J].中国海上油气,2008,20(6):379-381.
Chen Yuanqian,Guo Erpeng.Building and applying a new decline model of oilfield productions[J].China Offshore Oil and Gas,2008,20(6):379-381.
[15] 胡建国,陈元千.预测油气田产量的简单模型[J].中国海上油气(地质),1995,9(1):53-59.
Hu Jianguo,Chen Yuanqian.A simple model for predicting production rate of oil and gas fields[J].China Offshore Oil and Gas (Geology),1995,9(1):53-59.
[16] Lanczos C.A precision approximation of the gamma function[J].Journal of the Society for Industrial and Applied Mathematics:Series B,Numerical Analysis,1964,1:86-96.
[17] 陈元千,郝明强.HCZ模型在多峰预测中的应用[J].石油学报,2013,34(4):747-752.
Chen Yuanqian,Hao Mingqiang.Application of HCZ model to predicting multiple production peaks[J].Acta Petrolei Sinica,2013,34(4):747-752.
[18] 陈元千,郝明强.多峰预测模型的建立与应用[J].新疆石油地质,2013,34(3):296-299.
Chen Yuanqian,Hao Mingqiang.Establishment and application of the multi-peak forecasting model[J].Xinjiang Petroleum Geology,2013,34(3):296-299.

Model’s typical curve and its application for forecasting production and recoverable reserves of oilfields

预测油田产量和可采储量模型的典型曲线及其应用

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[11]	Min Qi, Hu Jianguo. A MODEL FOR PREDICTING THE PRODUCTION OF OIL AND GAS FIELDS [J]. Editorial office of ACTA PETROLEI SINICA, 1997, 18(1): 63-69.
[12]	Jia Zhenqi. PREDICTION OF GAS PRODUCTION FOR A VOLATILE OIL RESERVOIR BY THE FUNCTION MODEL [J]. Editorial office of ACTA PETROLEI SINICA, 1997, 18(1): 77-80.
[13]	Jia Yonglu, Li Yun. WELL TEST ANALYSIS MODELS FOR FINITE DUAL POROSITY RESERVOIRS AND THEIR TYPE CURVES [J]. Editorial office of ACTA PETROLEI SINICA, 1996, 17(4): 98-104.
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[15]	Xu Jiangping. THE ACCURATE SOLUTION OF THE TRANSIENT PRESSURE IN THE UNSTEADY WELL TEST CONSIDERING PHASE REDISTRIBUTION [J]. Editorial office of ACTA PETROLEI SINICA, 1995, 16(2): 85-92.