CN104912528A - Method for identifying inflection point of water flooding characteristic curve in extra-high water cut stage - Google Patents
Method for identifying inflection point of water flooding characteristic curve in extra-high water cut stage Download PDFInfo
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Abstract
The invention provides a method for identifying an inflection point of a water flooding characteristic curve in the extra-high water cut stage. The method comprises the following steps: 1, judging whether an inflection point appears on a water flooding characteristic curve; 2, determining the cumulative oil production when a water flooding characteristic change rate curve changes abruptly; 3, determining the cumulative oil production when an oil content curve changes abruptly; 4, determining the cumulative oil production when a water-oil ratio curve changes abruptly; and 5, determining the inflection point appearing time of the water flooding characteristic curve according to multiple parameters, that is, determining the integrated water cut corresponding to the cumulative oil production when the water flooding characteristic change rate curve, the oil content curve and the water-oil ratio curve change abruptly at the same time. The method for identifying the inflection point of the water flooding characteristic curve in the extra-high water cut stage lays foundations for reasonably generating development strategies for production of a mine field and improving the development effect, and can better guide the development and production practices of an oil field.
Description
Technical field
The present invention relates to oil field development technical field, particularly relate to a kind of ultra-high water cut stage WATER FLOODING CHARACTERISTIC CURVE flex point and sentence knowledge method.
Background technology
Waterflooding development oil reservoir, middle High water cut stage theory WATER FLOODING CHARACTERISTIC CURVE presents linear rule change, and enter ultra-high water-containing development late stage, theoretical WATER FLOODING CHARACTERISTIC CURVE presents the nonlinear characteristic be bent upwards.The initial point of departs from linear rule, is WATER FLOODING CHARACTERISTIC CURVE flex point.Tradition reservoir engineering side is applicable to before flex point occurs, WATER FLOODING CHARACTERISTIC CURVE be carried out to the development effectiveness of linear rule description and oil reservoir prediction on this basis.After flex point occurs, need to adopt new method to carry out the development effectiveness of non-linear rule description and oil reservoir prediction on this basis to WATER FLOODING CHARACTERISTIC CURVE.As can be seen here, flex point occurs that opportunity is the mark selecting different reservoir engineering method, accurately judges that flex point occurs that opportunity is the basis of reasonable prediction effect of reservoir development.
In addition, because reservoir heterogeneity is serious, note adopts the reasons such as imbalance on mining site, there is one or many in flex point.Occur that flex point shows that in oil reservoir, production water significantly increases, inject water low effective circulation and cause development effectiveness to be obviously deteriorated, affusion utilizing ratio reduces, and waterflood efficiency declines to a great extent, thus causes residual recoverable reserves to reduce, and recovery ratio reduces.Therefore, there is opportunity in accurate judgement flex point, timely grasp oil reservoir development situation, formulate rational development strategy, namely risen by some rational controlling measurement moisture content, avoid injecting water low effective circulation, improve affusion utilizing ratio, improving Development Response of Oilfield, having great importance to instructing oil field development and mining site to produce.
But, because WATER FLOODING CHARACTERISTIC CURVE is a kind of accumulation relation curve, as the relation curve that A type WATER FLOODING CHARACTERISTIC CURVE is cumulative oil production and cumulative water production, due to the impact of cumulative effect, curvilinear motion amplitude is not significantly and there is hysteresis, flex point occurs that opportunity is difficult to accurate assurance, and the result that people different often judges is different, and result of determination gap is larger.We have invented a kind of a kind of ultra-high water cut stage WATER FLOODING CHARACTERISTIC CURVE flex point newly for this reason and sentence knowledge method, solve above technical problem.
Summary of the invention
The object of this invention is to provide that a kind of multi-parameter is worked in coordination with, the instantaneous ultra-high water cut stage WATER FLOODING CHARACTERISTIC CURVE flex point that there is not cumulative effect and sentence knowledge method.
Object of the present invention realizes by following technical measures: a kind of ultra-high water cut stage WATER FLOODING CHARACTERISTIC CURVE flex point sentences knowledge method, this ultra-high water cut stage WATER FLOODING CHARACTERISTIC CURVE flex point is sentenced knowledge method and is comprised: step 1, according to the WATER FLOODING CHARACTERISTIC CURVE of oil reservoir or individual well, judge whether WATER FLOODING CHARACTERISTIC CURVE occurs flex point; Step 2, according to oil reservoir or individual well Water-flooding characteristics change rate curve, determines cumulative oil production when Water-flooding characteristics change rate curve is undergone mutation; Step 3, according to the oil content change curve of oil reservoir or individual well, determines cumulative oil production when oil content curve is undergone mutation; Step 4, according to the water-oil factor change curve of oil reservoir, determines cumulative oil production when water-oil factor curve is undergone mutation; And step 5, multi-parameter determines that opportunity appears in WATER FLOODING CHARACTERISTIC CURVE flex point jointly, the composite water cut corresponding to cumulative oil production when namely simultaneously undergoing mutation according to Water-flooding characteristics change rate curve, oil content curve, water-oil factor curve.
Object of the present invention also realizes by following technical measures:
In step 1, WATER FLOODING CHARACTERISTIC CURVE log (the Wp)-Np of oil reservoir or individual well is drawn, wherein, Wp-cumulative water production, ten thousand tons, Np-cumulative oil production, ten thousand tons, there is slight " upwarping " trend in log (Wp) curve, then judges that flex point has appearred in WATER FLOODING CHARACTERISTIC CURVE.
In step 2, draw oil reservoir or individual well Water-flooding characteristics change rate curve log (derivative of Wp)-Np relation curve, wherein, Wp-cumulative water production, ten thousand tons; Np-cumulative oil production, ten thousand tons, cumulative oil production when finding log (derivative of Wp) curve to occur obvious " upwarping " trend.
In step 3, draw oil content change curve log (the fo)-Np of oil reservoir or individual well, wherein, fo-oil content, %, Np-cumulative oil production, ten thousand tons, cumulative oil production when finding oil content curve that obvious " pressure head " situation occurs.
In step 4, draw water-oil factor change curve log (the water-oil factor)-Np of oil reservoir, wherein, Np-cumulative oil production, ten thousand tons, cumulative oil production when finding water-oil factor curve that obvious " new line " situation occurs.
In steps of 5, cumulative oil production when determining that knee of curve occurs by step 2, step 3 and step 4, cargo tracer well development data, determine composite water cut now, this composite water cut is defined as flex point and occurs opportunity.
Ultra-high water cut stage WATER FLOODING CHARACTERISTIC CURVE flex point in the present invention sentences knowledge method, from the objective develop process model of oil reservoir, using the significant WATER FLOODING CHARACTERISTIC CURVE rate of change of amplitude of variation, oil content, water-oil factor three indexs as judging that the leading indicator on opportunity appears in WATER FLOODING CHARACTERISTIC CURVE flex point.Multi-parameter is worked in coordination with judgement and is improve accuracy, and these three indexs are the instantaneous value in oil reservoir development process, overcome the impact of cumulative effect, accurately can judge the appearance opportunity of WATER FLOODING CHARACTERISTIC CURVE flex point, the error that human factor causes can be reduced, improve the degree of accuracy judged.In view of WATER FLOODING CHARACTERISTIC CURVE causes because ultra-high water-containing later stage aquifer yield sharply rises " upwarping " occurs, what reflect in essence is the corresponding relation of oil production with moisture rising, namely, when Liquid output is basicly stable, the fast oil production of moisture rising reduces fast, is reflected in WATER FLOODING CHARACTERISTIC CURVE and is " upwarping ".Therefore, employing of the present invention and the closely related and amplitude of variation of moisture content is significant, WATER FLOODING CHARACTERISTIC CURVE rate of change (derivative of WATER FLOODING CHARACTERISTIC CURVE), oil content, water-oil factor three indexs are as judging that the leading indicator on opportunity appears in WATER FLOODING CHARACTERISTIC CURVE flex point.The present invention is mining site reasonable selection reservoir engineering method prediction development effectiveness, formulates modification scenario strategy suggestions for improvement establish a firm foundation, better instructs oil field development production practices.
Accompanying drawing explanation
Fig. 1 is the flow chart that ultra-high water cut stage WATER FLOODING CHARACTERISTIC CURVE flex point of the present invention sentences a specific embodiment of knowledge method;
Fig. 2 is AA well log (the Wp)-Np graph of relation in a specific embodiment of the present invention;
Fig. 3 is the derivative of AA well log (Wp)-Np in a specific embodiment of the present invention, log(Wp)-Np graph of relation;
Fig. 4 is AA well log (Wp)-Np, log(fo in a specific embodiment of the present invention)-Np graph of relation;
Fig. 5 is AA well log (Wp)-Np, log(water-oil factor in a specific embodiment of the present invention)-Np graph of relation.
Detailed description of the invention
For making above and other object of the present invention, feature and advantage can become apparent, cited below particularly go out preferred embodiment, and coordinate institute's accompanying drawings, be described in detail below.
As shown in Figure 1, Fig. 1 is the flow chart that ultra-high water cut stage WATER FLOODING CHARACTERISTIC CURVE flex point of the present invention sentences knowledge method.
In a step 101, draw the WATER FLOODING CHARACTERISTIC CURVE of oil reservoir or individual well, judge whether WATER FLOODING CHARACTERISTIC CURVE occurs flex point.In one embodiment, as shown in Figure 2, A type WATER FLOODING CHARACTERISTIC CURVE log (the Wp)-Np of AA individual well is drawn, wherein, Wp-cumulative water production, ten thousand tons; Np-cumulative oil production, ten thousand tons.Finding that cumulative oil production is 8.96 ten thousand ton hours, there is slight " upwarping " trend in log (Wp) curve.Then, judge that flex point has appearred in AA well WATER FLOODING CHARACTERISTIC CURVE.Below, the appearance opportunity of flex point is specifically judged.
In step 103, draw oil reservoir or individual well Water-flooding characteristics change rate curve, determine cumulative oil production when Water-flooding characteristics change rate curve is undergone mutation.In one embodiment, as shown in Figure 3, A type WATER FLOODING CHARACTERISTIC CURVE log (derivative of the Wp)-Np relation curve of AA individual well is drawn, wherein, Wp-cumulative water production, ten thousand tons; Np-cumulative oil production, ten thousand tons.Finding that cumulative oil production is 8.79 ten thousand ton hours, there is significantly " upwarping " trend in log (derivative of Wp) curve.
In step 105, draw the oil content change curve of oil reservoir or individual well, determine cumulative oil production when oil content curve is undergone mutation.In one embodiment, as shown in Figure 4, log (the fo)-Np relation curve of AA individual well is drawn, wherein, fo-oil content, %, Np-cumulative oil production, ten thousand tons.Finding that cumulative oil production is 8.79 ten thousand ton hours, there is significantly " pressure head " situation in oil content curve.
In step 107, draw the water-oil factor change curve of oil reservoir, determine cumulative oil production when water-oil factor curve is undergone mutation.In one embodiment, as shown in Figure 5, log (the water-oil factor)-Np relation curve of AA individual well is drawn, wherein, Np-cumulative oil production, ten thousand tons.Finding that cumulative oil production is 8.79 ten thousand ton hours, there is significantly " new line " situation in water-oil factor curve.
In step 109, multi-parameter determines that opportunity appears in WATER FLOODING CHARACTERISTIC CURVE flex point jointly, the composite water cut corresponding to cumulative oil production when namely Water-flooding characteristics change rate curve, oil content curve, water-oil factor curve are undergone mutation simultaneously.Jointly determined by step 103, step 105 and step 107, cumulative oil production is that flex point appears in 8.79 ten thousand ton hour AA oil well WATER FLOODING CHARACTERISTIC CURVE.Inquire about these well development data known, comprehensive water cut is now 97.5%, then flex point occurs that opportunity is finally defined as 97.5%.
Claims (6)
1. ultra-high water cut stage WATER FLOODING CHARACTERISTIC CURVE flex point sentences a knowledge method, it is characterized in that, this ultra-high water cut stage WATER FLOODING CHARACTERISTIC CURVE flex point is sentenced knowledge method and comprised:
Step 1, according to the WATER FLOODING CHARACTERISTIC CURVE of oil reservoir or individual well, judges whether WATER FLOODING CHARACTERISTIC CURVE occurs flex point;
Step 2, according to oil reservoir or individual well Water-flooding characteristics change rate curve, determines cumulative oil production when Water-flooding characteristics change rate curve is undergone mutation;
Step 3, according to the oil content change curve of oil reservoir or individual well, determines cumulative oil production when oil content curve is undergone mutation;
Step 4, according to the water-oil factor change curve of oil reservoir, determines cumulative oil production when water-oil factor curve is undergone mutation; And
Step 5, multi-parameter determines that opportunity appears in WATER FLOODING CHARACTERISTIC CURVE flex point jointly, the composite water cut corresponding to cumulative oil production when namely simultaneously undergoing mutation according to Water-flooding characteristics change rate curve, oil content curve, water-oil factor curve.
2. ultra-high water cut stage WATER FLOODING CHARACTERISTIC CURVE flex point according to claim 1 sentences knowledge method, it is characterized in that, in step 1, WATER FLOODING CHARACTERISTIC CURVE log (the Wp)-Np of oil reservoir or individual well is drawn, wherein, Wp-cumulative water production, ten thousand tons, Np-cumulative oil production, ten thousand tons, there is slight " upwarping " trend in log (Wp) curve, then judges that flex point has appearred in WATER FLOODING CHARACTERISTIC CURVE.
3. ultra-high water cut stage WATER FLOODING CHARACTERISTIC CURVE flex point according to claim 1 sentences knowledge method, it is characterized in that, in step 2, draw oil reservoir or individual well Water-flooding characteristics change rate curve log (derivative of Wp)-Np relation curve, wherein, Wp-cumulative water production, ten thousand tons; Np-cumulative oil production, ten thousand tons, cumulative oil production when finding log (derivative of Wp) curve to occur obvious " upwarping " trend.
4. ultra-high water cut stage WATER FLOODING CHARACTERISTIC CURVE flex point according to claim 1 sentences knowledge method, it is characterized in that, in step 3, draw oil content change curve log (the fo)-Np of oil reservoir or individual well, wherein, fo-oil content, %, Np-cumulative oil production, ten thousand tons, cumulative oil production when finding oil content curve that obvious " pressure head " situation occurs.
5. ultra-high water cut stage WATER FLOODING CHARACTERISTIC CURVE flex point according to claim 1 sentences knowledge method, it is characterized in that, in step 4, draw water-oil factor change curve log (the water-oil factor)-Np of oil reservoir, wherein, Np-cumulative oil production, ten thousand tons, cumulative oil production when finding water-oil factor curve that obvious " new line " situation occurs.
6. ultra-high water cut stage WATER FLOODING CHARACTERISTIC CURVE flex point according to claim 1 sentences knowledge method, it is characterized in that, in steps of 5, cumulative oil production when determining that knee of curve occurs by step 2, step 3 and step 4, cargo tracer well development data, determine composite water cut now, this composite water cut is defined as flex point and occurs opportunity.
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| CN106050196A (en) * | 2016-06-08 | 2016-10-26 | 西南石油大学 | Method for determining good transfer-injection opportunity for early polymer injection of offshore heavy oil reservoir |
| CN106097118A (en) * | 2016-06-08 | 2016-11-09 | 西南石油大学 | A kind of permeability saturation curve determines the method for heavy crude reservoir polymer flooding scope on opportunity |
| CN107366529A (en) * | 2017-06-28 | 2017-11-21 | 中国石油化工股份有限公司 | Heterogeneous water-drive pool Dimensionless liquid production index curve characterizing method |
| CN109209308A (en) * | 2018-09-07 | 2019-01-15 | 中国石油化工股份有限公司 | A kind of method of ultra-high water cut reservoir waterflooding development |
| CN109441437A (en) * | 2018-09-07 | 2019-03-08 | 中国石油化工股份有限公司 | A kind of recognition methods in the highly water intensive channel of ultra-high water cut reservoir |
| CN110424942A (en) * | 2019-06-24 | 2019-11-08 | 中国石油化工股份有限公司 | A kind of judgement ultra-high water-containing band forms the method and system of time |
| CN110751405A (en) * | 2019-10-24 | 2020-02-04 | 长江大学 | Water flooding characteristic curve rapid fitting method and system |
| CN112049629A (en) * | 2020-10-20 | 2020-12-08 | 西南石油大学 | Fracture-cavity type oil reservoir recovery ratio prediction method based on A-type water drive characteristic curve |
| CN112396265A (en) * | 2019-08-14 | 2021-02-23 | 中国石油天然气股份有限公司 | Water-drive sandstone reservoir water circulation level determination method and device |
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| CN106050196A (en) * | 2016-06-08 | 2016-10-26 | 西南石油大学 | Method for determining good transfer-injection opportunity for early polymer injection of offshore heavy oil reservoir |
| CN106097118A (en) * | 2016-06-08 | 2016-11-09 | 西南石油大学 | A kind of permeability saturation curve determines the method for heavy crude reservoir polymer flooding scope on opportunity |
| CN106050196B (en) * | 2016-06-08 | 2019-03-08 | 西南石油大学 | A kind of Offshore Heavy Oil Field oil reservoir early stage note gathers the determination method on preferable metaideophone opportunity |
| CN107366529A (en) * | 2017-06-28 | 2017-11-21 | 中国石油化工股份有限公司 | Heterogeneous water-drive pool Dimensionless liquid production index curve characterizing method |
| CN109209308A (en) * | 2018-09-07 | 2019-01-15 | 中国石油化工股份有限公司 | A kind of method of ultra-high water cut reservoir waterflooding development |
| CN109441437A (en) * | 2018-09-07 | 2019-03-08 | 中国石油化工股份有限公司 | A kind of recognition methods in the highly water intensive channel of ultra-high water cut reservoir |
| CN110424942A (en) * | 2019-06-24 | 2019-11-08 | 中国石油化工股份有限公司 | A kind of judgement ultra-high water-containing band forms the method and system of time |
| CN112396265A (en) * | 2019-08-14 | 2021-02-23 | 中国石油天然气股份有限公司 | Water-drive sandstone reservoir water circulation level determination method and device |
| CN112396265B (en) * | 2019-08-14 | 2024-03-29 | 中国石油天然气股份有限公司 | Method and device for determining water circulation level of water flooding sandstone reservoir |
| CN110751405A (en) * | 2019-10-24 | 2020-02-04 | 长江大学 | Water flooding characteristic curve rapid fitting method and system |
| CN110751405B (en) * | 2019-10-24 | 2022-07-15 | 长江大学 | Water flooding characteristic curve rapid fitting method and system |
| CN112049629A (en) * | 2020-10-20 | 2020-12-08 | 西南石油大学 | Fracture-cavity type oil reservoir recovery ratio prediction method based on A-type water drive characteristic curve |
| CN112049629B (en) * | 2020-10-20 | 2022-07-01 | 西南石油大学 | Fracture-cavity type oil reservoir recovery ratio prediction method based on A-type water drive characteristic curve |
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