CN104818982A - Method and device for quantitatively analyzing connectivity of fracture-cavity reservoir - Google Patents
Method and device for quantitatively analyzing connectivity of fracture-cavity reservoir Download PDFInfo
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Abstract
The invention provides a method and a device for quantitatively analyzing connectivity of a fracture-cavity reservoir stratum, wherein the method comprises the following steps: carrying out inversion by using seismic and logging data to obtain a longitudinal wave impedance body, and generating a porosity body according to the relation between logging porosity and longitudinal wave impedance; determining an effective reservoir by taking the lower limit value of the porosity of the effective reservoir as a critical value; judging the connectivity of the effective reservoirs according to the contact relation between the effective reservoirs, and determining the boundary of each fracture-cavity reservoir body; extracting an initial seismic fracture prediction attribute body by utilizing a coherence or curvature algorithm; determining the connectivity of the reservoirs among wells by a dynamic connectivity analysis method, and judging the connectivity relation among the fracture-cavity reservoirs according to the boundaries of the fracture-cavity reservoirs; determining the crack development degree according to the communication relation, acquiring a crack attribute threshold range, and determining an earthquake crack prediction attribute body; and generating a reservoir connectivity quantitative analysis result according to the contact relation between the fracture-cavity reservoir body and the seismic fracture prediction attribute body and the fracture attribute threshold range.
Description
Technical field
The invention relates to reservoir distribution Predicting Technique, particularly, is about the connective quantitative analysis method of a kind of fractured-vuggy reservoir and device.
Background technology
Fracture-cavity units divides Carbonate Reservoir exploitation significant, and the problem of its most critical how to judge the connectedness between reservoir.What can adopt between well is dynamic connectivity analytical method to determine that it is connective, specifically comprises production interference analysis method, fluid properties discriminant analysis, inter-well interference well testing method and tracer method etc. between reservoir pressure trend analysis method, well.Reservoir beyond well control range, then need by data such as earthquakes to predict that it is connective.In view of two Dominated Factors affecting fractured-vuggy reservoir connectedness are reservoir self and crack, conventional method is: utilize seismic properties to carry out reservoir and FRACTURE PREDICTION, by judging the contact relation between reservoir and crack, reaches connective prediction object.Because reservoir and FRACTURE PREDICTION are mainly carried out under static well data (rock core, imaging logging etc.) retrains, connectedness is often caused to predict the outcome with real drilling well inter-well dynamic connectivity analysis result was inconsistent afterwards.
For above-mentioned situation, existing Predicting Technique carries out reservoir and FRACTURE PREDICTION under the constraint of connectedness.Specifically utilize seismic amplitude attribute forecast reservoir, AFE (a kind of main flow FRACTURE PREDICTION technology) predicts crack, continuous both adjustments threshold value, makes reservoir and results of fracture prediction and Production development match, thus make without the reservoir in well controlling zone territory and results of fracture prediction more accurate.The method is not when distinguishing reservoir communication and specifically by which factor (reservoir or crack) being determined, general by dynamic connectivity analysis result, retrain reservoir and FRACTURE PREDICTION, threshold value (as shown in Figure 1) both namely simultaneously adjusting simultaneously.But above-mentioned analytical method Problems existing mainly contains: (1) multi-solution is too strong, be the equal of go constraint solving two known variables (amplitude and AFE attribute thresholds) by a known variables (dynamic connectivity result), may be specifically that adjustment amplitude threshold is more, or adjustment AFE threshold value is more, or the two adjusts simultaneously, can conform to dynamic analysis result.(2) owing to emphasizing that reservoir self is most important connection factor, next is only crack, and do not analyse in depth the connectedness in crack, this also affects the precision that final reservoir communication predicts the outcome.
Summary of the invention
The problems such as the multi-solution for background technology is strong, the connective research of fracture is not deep enough, the main purpose of the embodiment of the present invention is to provide the connective quantitative analysis method of a kind of fractured-vuggy reservoir and device, to reduce the multi-solution of reservoir and fractue spacing analysis result, thus improve the degree of accuracy of reservoir communication analysis.
To achieve these goals, the embodiment of the present invention provides a kind of fractured-vuggy reservoir connective quantitative analysis method, described method comprises: utilize earthquake and log data to carry out inverting, obtain p-wave impedance body, according to the relation between well logging porosity and p-wave impedance, described p-wave impedance body is converted into porosity cube; In the described porosity cube obtained by well log interpretation, the lower limit of Effective Reservoirs degree of porosity is as threshold, determines Effective Reservoirs; Judge the connectedness of described Effective Reservoirs according to the contact relation between described Effective Reservoirs, determine the border of each fracture and cave reservoir; Utilize relevant or curvature algorithm, extract primary earthquake FRACTURE PREDICTION attribute volume; By the connectedness of reservoir between dynamic connectivity analytical method determination well, and judge described fracture and cave reservoir connected relation between any two according to described fracture and cave reservoir border; According to described connected relation determination development degree of micro cracks in oil, obtain the scope of the crack attribute thresholds of described primary earthquake FRACTURE PREDICTION attribute volume, and determine Seismic prediction of fracture attribute volume; According to described fracture and cave reservoir and the contact relation of described Seismic prediction of fracture attribute volume and the scope of described crack attribute thresholds, judge the connectedness of fractured-vuggy reservoir, generate reservoir communication quantitative analysis results.
In one embodiment, the pass between above-mentioned well logging porosity and p-wave impedance is: along with the increase of degree of porosity, the linear relationship of the corresponding reduction of p-wave impedance.
In one embodiment, the connectedness of described Effective Reservoirs is judged according to the contact relation between described Effective Reservoirs, determine Reservoir Body border, comprising: judge whether there is contact between described Effective Reservoirs, described contact comprises: point cantact, linear contact lay and face contact; If there is contact between described Effective Reservoirs, then judge between described Effective Reservoirs as connection; Otherwise, judge between described Effective Reservoirs as not being communicated with.
In one embodiment, according to described connected relation determination development degree of micro cracks in oil, obtain the scope of the crack attribute thresholds of described primary earthquake FRACTURE PREDICTION attribute volume, comprise: when described connected relation is for being communicated with, in units of a constant, successively reduce the numerical value of described crack attribute thresholds from big to small, until there is crack between two described fracture and cave reservoir, and connection is a fracture-cavity units, using the higher limit of described crack attribute thresholds now as described crack attribute thresholds; When described connected relation is not for being communicated with, in units of described constant, successively increase the numerical value of described crack attribute thresholds from small to large, until described fracture and cave reservoir separately, using the lower limit of described crack attribute thresholds now as described crack attribute thresholds; The scope of described crack attribute thresholds is obtained according to the higher limit of described crack attribute thresholds and lower limit.
In one embodiment, according to described fracture and cave reservoir and the contact relation of primary earthquake FRACTURE PREDICTION attribute volume and the scope of described crack attribute thresholds, judge the connectedness of fractured-vuggy reservoir, generate reservoir communication quantitative analysis results, comprise: described Effective Reservoirs and Seismic prediction of fracture attribute volume are merged generation one fused data body, according to the contact relation of described fused data body inside, judge the connectedness of fractured-vuggy reservoir, generate reservoir communication quantitative analysis results.
The embodiment of the present invention also provides a kind of fractured-vuggy reservoir connective quantitative analysis device, described device comprises: porosity cube generation unit, inverting is carried out for utilizing earthquake and log data, obtain p-wave impedance body, according to the relation between well logging porosity and p-wave impedance, described p-wave impedance body is converted into porosity cube; Effective Reservoirs determining unit, for using the lower limit of Effective Reservoirs degree of porosity in the described porosity cube obtained by well log interpretation as threshold, determines Effective Reservoirs; Fracture and cave reservoir border determining unit, for judging the connectedness of described Effective Reservoirs according to the contact relation between described Effective Reservoirs, determines the fracture and cave reservoir border of each Reservoir Body; Primary earthquake FRACTURE PREDICTION attribute volume extraction unit, for utilizing relevant or curvature algorithm, extracts primary earthquake FRACTURE PREDICTION attribute volume; Connected relation judging unit, for the connectedness by reservoir between dynamic connectivity analytical method determination well, and judges described fracture and cave reservoir connected relation between any two according to described fracture and cave reservoir border; Threshold range acquiring unit, for according to described connected relation determination development degree of micro cracks in oil, obtains the scope of the crack attribute thresholds of described primary earthquake FRACTURE PREDICTION attribute volume, and determines Seismic prediction of fracture attribute volume; Analysis result generation unit, for according to the contact relation of described fracture and cave reservoir and described Seismic prediction of fracture attribute volume and the scope of described crack attribute thresholds, judges the connectedness of fractured-vuggy reservoir, generates reservoir communication quantitative analysis results.
In one embodiment, the pass between above-mentioned well logging porosity and p-wave impedance is: along with the increase of degree of porosity, the linear relationship of the corresponding reduction of p-wave impedance.
In one embodiment, above-mentioned fracture and cave reservoir border determining unit specifically for: judge whether there is contact between described Effective Reservoirs, described contact comprises: point cantact, linear contact lay and face contact; If there is contact between described Effective Reservoirs, then judge between described Effective Reservoirs as connection; Otherwise, judge between described Effective Reservoirs as not being communicated with.
In one embodiment, above-mentioned threshold range acquiring unit specifically for: when described connected relation for be communicated with time, in units of a constant, successively reduce the numerical value of described crack attribute thresholds from big to small, until there is crack between two described fracture and cave reservoir, and connection is a fracture-cavity units, using the higher limit of described crack attribute thresholds now as described crack attribute thresholds; When described connected relation is not for being communicated with, in units of described constant, successively increase the numerical value of described crack attribute thresholds from small to large, until described fracture and cave reservoir separately, using the lower limit of described crack attribute thresholds now as described crack attribute thresholds; The scope of described crack attribute thresholds is obtained according to the higher limit of described crack attribute thresholds and lower limit.
In one embodiment, above-mentioned analysis result generation unit specifically for: described Effective Reservoirs and described Seismic prediction of fracture attribute volume are merged generation one fused data body, according to the contact relation of described fused data body inside, judge the connectedness of fractured-vuggy reservoir, generate reservoir communication quantitative analysis results.
Beneficial effect of the present invention is, owing to reference to many factors, and the threshold range of Qualitative calculate prediction attribute volume, the multi-solution of reservoir and fractue spacing analysis result can be reduced, thus improve the degree of accuracy of reservoir communication analysis.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, below the accompanying drawing used required in describing embodiment is briefly described, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
Fig. 1 is based on the reservoir of background technology and crack attribute thresholds adjustment process and analysis result figure;
Fig. 2 is the flow chart according to the connective quantitative analysis method of the fractured-vuggy reservoir of the embodiment of the present invention;
Fig. 3 is the generalized section that predicts the outcome of different method for predicting reservoir;
Fig. 4 is the schematic diagram of carbonate rock fractured cave body development models;
Fig. 5 is the Effective Reservoirs quantitative analysis distribution schematic diagram according to the embodiment of the present invention;
Fig. 6 is the extraction result schematic diagram of the primary earthquake FRACTURE PREDICTION attribute volume according to the embodiment of the present invention;
Fig. 7 A and Fig. 7 B be according to the fracture and cave reservoir of the embodiment of the present invention between connection pattern schematic diagram;
Fig. 8 be according to the fracture and cave reservoir of the embodiment of the present invention between contact relation schematic diagram;
Fig. 9 is the fracture-cavity units division result schematic diagram according to the embodiment of the present invention;
Figure 10 A to Figure 10 D is the crack attribute thresholds scope division result schematic diagram according to the embodiment of the present invention;
Figure 11 is the analysis result schematic diagram of Seismic prediction of fracture attribute volume;
Figure 12 is the structural representation according to the connective quantitative analysis device of the fractured-vuggy reservoir of the embodiment of the present invention.
Detailed description of the invention
Below in conjunction with the accompanying drawing in the embodiment of the present invention, be clearly and completely described the technical scheme in the embodiment of the present invention, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
The embodiment of the present invention provides the connective quantitative analysis method of a kind of fractured-vuggy reservoir and device.Below in conjunction with accompanying drawing, the present invention is described in detail.
The embodiment of the present invention provides a kind of fractured-vuggy reservoir connective quantitative analysis method, and as shown in Figure 2, this analytical method comprises:
Step S101: utilize earthquake and log data to carry out inverting, obtains p-wave impedance body, according to the relation between well logging porosity and p-wave impedance, p-wave impedance body is converted into porosity cube;
Step S102: the lower limit of Effective Reservoirs degree of porosity is as threshold in the porosity cube obtained by well log interpretation, determines Effective Reservoirs;
Step S103: the connectedness judging Effective Reservoirs according to the contact relation between Effective Reservoirs, determines the border of each fracture and cave reservoir;
Step S104: utilize relevant or curvature algorithm, extracts primary earthquake FRACTURE PREDICTION attribute volume;
Step S105: by the connectedness of reservoir between dynamic connectivity analytical method determination well, and judge fracture and cave reservoir connected relation between any two according to fracture and cave reservoir border;
Step S106: according to connected relation determination development degree of micro cracks in oil, obtains the scope of the crack attribute thresholds of primary earthquake FRACTURE PREDICTION attribute volume, and determines Seismic prediction of fracture attribute volume;
Step S107: according to fracture and cave reservoir and the contact relation of Seismic prediction of fracture attribute volume and the scope of crack attribute thresholds, judge the connectedness of fractured-vuggy reservoir, generates reservoir communication quantitative analysis results.
By above-mentioned steps S101 ~ S107, on the basis of reservoir quantitative forecast, by the analysis of Effective Reservoirs self connectedness, determine fracture and cave reservoir border; Again crack is divided into two parts, a part is the crack of fracture and cave reservoir inside, another part is the crack between fracture and cave reservoir, utilize dynamic connectivity analysis result, specialize in for the fracture connectivity between the body of seam hole, determine crack attribute thresholds, thus quantitative forecast crack, again according to contact relation therebetween, judge reservoir communication.By the connective quantitative analysis method of the fractured-vuggy reservoir of the embodiment of the present invention, the multi-solution of reservoir and fractue spacing analysis result can be reduced, thus improve the degree of accuracy of reservoir communication analysis.
Current carbonate rock fractured cave type reservoir prediction mainly contains two kinds of methods and is: based on the method for predicting reservoir of amplitude attribute, the method for predicting reservoir based on inverting p-wave impedance.Research shows, p-wave impedance can reflect the locus of seam hole body and form (as shown in Figure 3 more accurately compared with amplitude attribute, Fig. 3 (a) is seismic amplitude sectional drawing, Fig. 3 (b) is frequency division amplitude section figure, Fig. 3 (c) is reflected intensity paving figure, Fig. 3 (d) is inverting wave impedance section figure), and have correlation definitely, so Effective Reservoirs quantitative forecast precision is higher with physical properties of rock.
For fracture and vug carbonate reservoir, its development models as shown in Figure 4, stitches hole body because little well drills, conventional determinated back analysis, now can only set up initial model with a constant, be difficult to like this obtain a low frequency trend accurately, therefore can have influence on inverting impedance precision.And geostatistical inversion can be combined better with earthquake well, make full use of the data of stochastic modeling technological synthesis different scale, inversion accuracy is higher than determinated back analysis.In embodiments of the present invention, namely above-mentioned steps S101 is carry out wave impedance inversion by Inversion of geostatistics, thus obtains p-wave impedance body.Further, according to the relation between well log interpretation degree of porosity and wave impedance, p-wave impedance body is converted into porosity cube.
Above-mentioned steps S102, in the porosity cube obtained by well log interpretation, the lower limit of Effective Reservoirs degree of porosity is as threshold, determines Effective Reservoirs.Propose invalid reservoir by this threshold, thus obtain Effective Reservoirs, the result of determined Effective Reservoirs as shown in Figure 5.Wherein, the pass between above-mentioned well logging porosity and p-wave impedance is: along with the increase of degree of porosity, the linear relationship of the corresponding reduction of p-wave impedance, such as, be the linear relationship of y=ax+b, and wherein y is p-wave impedance, and x is degree of porosity.But the numerical value of coefficient a, b may be distinguished to some extent according to the section difference of carrying out earthquake detection.
Above-mentioned steps S103: the connectedness judging Effective Reservoirs according to the contact relation between Effective Reservoirs, determine the border of each fracture and cave reservoir, specifically comprise: judge whether there is contact relation between Effective Reservoirs, contact relation comprises: point cantact, linear contact lay and face contact; If there is contact relation between Effective Reservoirs, then judge between Effective Reservoirs as connection; If there is not contact relation between Effective Reservoirs, then judge between Effective Reservoirs as not being communicated with.
After determining the border of each fracture and cave reservoir, perform above-mentioned steps S104, utilize relevant or curvature algorithm, extract primary earthquake FRACTURE PREDICTION attribute volume, as shown in Figure 6.But because the determination of FRACTURE PREDICTION attribute thresholds now has no basis, randomness is comparatively strong, and institute's Prediction of fracture degree is accurate not.Therefore, the threshold value of attribute carries out further quantitative analysis also to need fracture to predict.
Particularly, the further quantitative analysis of threshold value of fracture prediction attribute is realized by above-mentioned steps S105, by the connectedness of reservoir between dynamic connectivity analytical method determination well, and judge fracture and cave reservoir connected relation between any two according to fracture and cave reservoir border.By dynamic connectivity analytical method, reservoir communication between the well determining fixed well, and the fracture and cave reservoir border determined in integrating step S103, judge which fracture and cave reservoir is not communicated with or is only communicated with by crack, as the foundation of adjustment crack attribute thresholds.Wherein, as shown in figs. 7 a and 7b, shown in Fig. 7 A is the connection pattern of wall scroll slit to the connection pattern between fracture and cave reservoir, and shown in Fig. 7 B is the connection pattern of many short seams.
Above-mentioned steps S106: according to connected relation determination development degree of micro cracks in oil, obtains the scope of the crack attribute thresholds of primary earthquake FRACTURE PREDICTION attribute volume, and determine Seismic prediction of fracture attribute volume.Particularly, step S106 comprises following steps: when connected relation is for being communicated with, with a constant (being such as 1) for unit, successively reduce the numerical value of crack attribute thresholds from big to small, until there is crack between two fracture and cave reservoir, and connection is a fracture-cavity units, using the higher limit of crack attribute thresholds now as crack attribute thresholds; When connected relation is not for being communicated with, still in units of this constant, successively increase the numerical value of crack attribute thresholds from small to large, until fracture and cave reservoir separately, using the lower limit of crack attribute thresholds now as crack attribute thresholds; According to the higher limit of crack attribute thresholds and the scope of lower limit acquisition crack attribute thresholds.Wherein, above-mentioned connected relation is determined according to the contact relation between two fracture and cave reservoir, contact relation between two fracture and cave reservoir as shown in Figure 8, mainly comprise: point cantact, linear contact lay and face contact, be be communicated with between two fracture and cave reservoir that there is contact relation, the seam hole body of connection can form an above-mentioned fracture-cavity units, and finally can form analysis result as shown in Figure 9, wherein, same color represents multiple fracture and cave reservoir of a composition fracture-cavity units.
As shown in Figure 10 A to Figure 10 D, be constraint by dynamic connectivity analysis result, the process of adjustment crack attribute thresholds: confirmed by dynamic connectivity analysis result: these four mouthfuls of wells of R301, R3013, R3011C, R3014X are communicated with, belong to same fracture-cavity units, R3017 well is not communicated with above-mentioned four mouthfuls of wells, belongs to another fracture-cavity units.Wherein, Figure 10 A is depicted as analysis result when crack attribute thresholds gets 235, Figure 10 B is depicted as analysis result when crack attribute thresholds gets 236, Figure 10 C is depicted as analysis result when crack attribute thresholds gets 254, Figure 10 D is depicted as analysis result when crack attribute thresholds gets 253, as can be seen here, when crack attribute thresholds scope is 236-253, static connectivity analysis result is with dynamically upper consistent.
And, according to primary earthquake FRACTURE PREDICTION attribute volume, according to the crack attribute thresholds scope determined, Seismic prediction of fracture attribute volume can be determined further, as shown in figure 11, be the result schematic diagram of the determined Seismic prediction of fracture attribute volume when crack attribute thresholds is 236.
Above-mentioned steps S107 is according to the contact relation between Effective Reservoirs and Seismic prediction of fracture attribute volume, and the scope of crack attribute thresholds, judge the connectedness of fractured-vuggy reservoir, generate reservoir communication quantitative analysis results, comprise: Effective Reservoirs and Seismic prediction of fracture attribute volume are merged generation one fused data body, according to the contact relation of fused data body inside, judge the connectedness of fractured-vuggy reservoir, generate reservoir communication quantitative analysis results.
Compared to the analytical method in background technology, the advantage of the connective quantitative analysis method of fractured-vuggy reservoir of the embodiment of the present invention is:
1) analyze under Geological Mode instructs, greatly reduce multi-solution;
2) adopt inversion method, determining reservoir position more accurately, taking a firm foundation for accurately portraying fracture and cave reservoir border;
3) fracture connectedness carries out specific aim research, and more rationally determine crack attribute thresholds, precision of prediction is higher.
The embodiment of the present invention also provides a kind of fractured-vuggy reservoir connective quantitative analysis device, as shown in figure 12, this analytical equipment comprises: porosity cube generation unit 1, Effective Reservoirs determining unit 2, fracture and cave reservoir border determining unit 3, primary earthquake FRACTURE PREDICTION attribute volume extraction unit 4, connected relation judging unit 5, threshold range acquiring unit 6 and analysis result generation unit 7.
Current carbonate rock fractured cave type reservoir prediction mainly contains two kinds of methods and is: based on the method for predicting reservoir of amplitude attribute, the method for predicting reservoir based on inverting p-wave impedance.Research shows, p-wave impedance can reflect the locus of seam hole body and form (as shown in Figure 3 more accurately compared with amplitude attribute, Fig. 3 (a) is seismic amplitude sectional drawing, Fig. 3 (b) is frequency division amplitude section figure, Fig. 3 (c) is reflected intensity paving figure, Fig. 3 (d) is inverting wave impedance section figure), and have correlation definitely, so Effective Reservoirs quantitative forecast precision is higher with physical properties of rock.
For fracture and vug carbonate reservoir, its development models as shown in Figure 4, stitches hole body because little well drills, conventional determinated back analysis, now can only set up initial model with a constant, be difficult to like this obtain a low frequency trend accurately, therefore can have influence on inverting impedance precision.And geostatistical inversion can be combined better with earthquake well, make full use of the data of stochastic modeling technological synthesis different scale, inversion accuracy is higher than determinated back analysis.In embodiments of the present invention, namely above-mentioned porosity cube generation unit 1 is carry out wave impedance inversion by Inversion of geostatistics, thus obtains p-wave impedance body.Further, according to the relation between well log interpretation degree of porosity and wave impedance, p-wave impedance body is converted into porosity cube.
Above-mentioned Effective Reservoirs determining unit 2, for using the lower limit of Effective Reservoirs degree of porosity in the porosity cube obtained by well log interpretation as threshold, determines Effective Reservoirs.Propose invalid reservoir by this threshold, thus obtain Effective Reservoirs, the result schematic diagram of determined Effective Reservoirs as shown in Figure 5.Wherein, the pass between above-mentioned well logging porosity and p-wave impedance is: along with the increase of degree of porosity, the linear relationship of the corresponding reduction of p-wave impedance, such as, be the linear relationship of y=ax+b, and wherein y is p-wave impedance, and x is degree of porosity.But the numerical value of coefficient a, b may be distinguished to some extent according to the section difference of carrying out earthquake detection.
Fracture and cave reservoir border determining unit 3 is for judging the connectedness of Effective Reservoirs according to the contact relation between Effective Reservoirs, determine the border of each fracture and cave reservoir, specifically comprise: judge whether there is contact relation between Effective Reservoirs, contact relation comprises: point cantact, linear contact lay and face contact; If there is contact relation between Effective Reservoirs, then judge between Effective Reservoirs as connection; If there is not contact relation between Effective Reservoirs, then judge between Effective Reservoirs as not being communicated with.
After determining the border of each fracture and cave reservoir, utilize relevant or curvature algorithm by primary earthquake FRACTURE PREDICTION attribute volume extraction unit 4, extract primary earthquake FRACTURE PREDICTION attribute volume, as shown in Figure 6.But because the determination of FRACTURE PREDICTION attribute thresholds now has no basis, randomness is comparatively strong, and institute's Prediction of fracture degree is accurate not.Therefore, the threshold value of attribute carries out further quantitative analysis also to need fracture to predict.
Particularly, the further quantitative analysis of threshold value of fracture prediction attribute is realized by above-mentioned connected relation judging unit 5, by the connectedness of reservoir between dynamic connectivity analytical method determination well, and judge fracture and cave reservoir connected relation between any two according to fracture and cave reservoir border.By dynamic connectivity analytical method, reservoir communication between the well determining fixed well, and the fracture and cave reservoir border determined in integrating step S103, judge which fracture and cave reservoir is not communicated with or is only communicated with by crack, as the foundation of adjustment crack attribute thresholds.Wherein, as shown in figs. 7 a and 7b, shown in Fig. 7 A is the connection pattern of wall scroll slit to the connection pattern between fracture and cave reservoir, and shown in Fig. 7 B is the connection pattern of many short seams.
Threshold range acquiring unit 6, for according to connected relation determination development degree of micro cracks in oil, obtains the scope of the crack attribute thresholds of primary earthquake FRACTURE PREDICTION attribute volume, and determines Seismic prediction of fracture attribute volume.This threshold range acquiring unit 6 specifically performs following steps: when connected relation is for being communicated with, with a constant (being such as 1) for unit, successively reduce the numerical value of crack attribute thresholds from big to small, until there is crack between two fracture and cave reservoir, and connection is a fracture-cavity units, using the higher limit of crack attribute thresholds now as crack attribute thresholds; When connected relation is not for being communicated with, still in units of this constant, successively increase the numerical value of crack attribute thresholds from small to large, until fracture and cave reservoir separately, using the lower limit of crack attribute thresholds now as crack attribute thresholds; According to the higher limit of crack attribute thresholds and the scope of lower limit acquisition crack attribute thresholds.Wherein, above-mentioned connected relation is determined according to the contact relation between two fracture and cave reservoir, contact relation between two fracture and cave reservoir as shown in Figure 8, mainly comprise: point cantact, linear contact lay and face contact, be be communicated with between two fracture and cave reservoir that there is contact relation, the seam hole body of connection can form an above-mentioned fracture-cavity units, and finally can form analysis result as shown in Figure 9, wherein, same color represents multiple fracture and cave reservoir of a composition fracture-cavity units.
As shown in Figure 10 A to Figure 10 D, be constraint by dynamic connectivity analysis result, the process of adjustment crack attribute thresholds: confirmed by dynamic connectivity analysis result: these four mouthfuls of wells of R301, R3013, R3011C, R3014X are communicated with, belong to same fracture-cavity units, R3017 well is not communicated with above-mentioned four mouthfuls of wells, belongs to another fracture-cavity units.Wherein, Figure 10 A is depicted as analysis result when crack attribute thresholds gets 235, Figure 10 B is depicted as analysis result when crack attribute thresholds gets 236, Figure 10 C is depicted as analysis result when crack attribute thresholds gets 254, Figure 10 D is depicted as analysis result when crack attribute thresholds gets 253, as can be seen here, when crack attribute thresholds scope is 236-253, static connectivity analysis result is consistent with dynamic.
And, this threshold range acquiring unit 6 can according to primary earthquake FRACTURE PREDICTION attribute volume, according to the crack attribute thresholds scope determined, determine Seismic prediction of fracture attribute volume further, as shown in figure 11, when crack attribute thresholds is 236, the result schematic diagram of determined Seismic prediction of fracture attribute volume.
Analysis result generation unit 7 is for according to the contact relation between Effective Reservoirs and Seismic prediction of fracture attribute volume, and the scope of crack attribute thresholds, judge the connectedness of fractured-vuggy reservoir, generate reservoir communication quantitative analysis results, comprise: Effective Reservoirs and Seismic prediction of fracture attribute volume are merged generation one fused data body, according to the contact relation of fused data body inside, judge the connectedness of fractured-vuggy reservoir, generate reservoir communication quantitative analysis results.
Compared to the analytical method in background technology, the advantage of the analytic process that the connective quantitative analysis device of the fractured-vuggy reservoir of the embodiment of the present invention realizes is:
1) analyze under Geological Mode instructs, greatly reduce multi-solution;
2) adopt inversion method, determining reservoir position more accurately, taking a firm foundation for accurately portraying fracture and cave reservoir border;
3) fracture connectedness carries out specific aim research, and more rationally determine crack attribute thresholds, precision of prediction is higher.
One of ordinary skill in the art will appreciate that the hardware that all or part of step realized in above-described embodiment method can carry out instruction relevant by program has come, this program can be stored in a computer read/write memory medium, such as ROM/RAM, magnetic disc, CD etc.
Above-described specific embodiment; object of the present invention, technical scheme and beneficial effect are further described; be understood that; the foregoing is only specific embodiments of the invention; the protection domain be not intended to limit the present invention; within the spirit and principles in the present invention all, any amendment made, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (10)
1. the connective quantitative analysis method of fractured-vuggy reservoir, it is characterized in that, described method comprises:
Utilize earthquake and log data to carry out inverting, obtain p-wave impedance body, according to the relation between well logging porosity and p-wave impedance, described p-wave impedance body is converted into porosity cube;
In the described porosity cube obtained by well log interpretation, the lower limit of Effective Reservoirs degree of porosity is as threshold, determines Effective Reservoirs;
Judge the connectedness of described Effective Reservoirs according to the contact relation between described Effective Reservoirs, determine the border of each fracture and cave reservoir;
Utilize relevant or curvature algorithm, extract primary earthquake FRACTURE PREDICTION attribute volume;
By the connectedness of reservoir between dynamic connectivity analytical method determination well, and judge described fracture and cave reservoir connected relation between any two according to described fracture and cave reservoir border;
According to described connected relation determination development degree of micro cracks in oil, obtain the scope of the crack attribute thresholds of described primary earthquake FRACTURE PREDICTION attribute volume, and determine Seismic prediction of fracture attribute volume;
According to described fracture and cave reservoir and the contact relation of described Seismic prediction of fracture attribute volume and the scope of described crack attribute thresholds, judge the connectedness of fractured-vuggy reservoir, generate reservoir communication quantitative analysis results.
2. the connective quantitative analysis method of fractured-vuggy reservoir according to claim 1, it is characterized in that, the pass between described well logging porosity and p-wave impedance is: along with the increase of degree of porosity, the linear relationship of the corresponding reduction of p-wave impedance.
3. the connective quantitative analysis method of fractured-vuggy reservoir according to claim 1, is characterized in that, judge the connectedness of described Effective Reservoirs according to the contact relation between described Effective Reservoirs, determine Reservoir Body border, comprising:
Judge whether there is contact between described Effective Reservoirs, described contact comprises: point cantact, linear contact lay and face contact;
If there is contact between described Effective Reservoirs, then judge between described Effective Reservoirs as connection; Otherwise, judge between described Effective Reservoirs as not being communicated with.
4. the connective quantitative analysis method of fractured-vuggy reservoir according to claim 1, is characterized in that, according to described connected relation determination development degree of micro cracks in oil, obtain the scope of the crack attribute thresholds of described primary earthquake FRACTURE PREDICTION attribute volume, comprising:
When described connected relation is for being communicated with, in units of a constant, successively reduce the numerical value of described crack attribute thresholds from big to small, until there is crack between two described fracture and cave reservoir, and connection is a fracture-cavity units, using the higher limit of described crack attribute thresholds now as described crack attribute thresholds;
When described connected relation is not for being communicated with, in units of described constant, successively increase the numerical value of described crack attribute thresholds from small to large, until described fracture and cave reservoir separately, using the lower limit of described crack attribute thresholds now as described crack attribute thresholds;
The scope of described crack attribute thresholds is obtained according to the higher limit of described crack attribute thresholds and lower limit.
5. the connective quantitative analysis method of fractured-vuggy reservoir according to claim 1, it is characterized in that, according to described fracture and cave reservoir and the contact relation of described Seismic prediction of fracture attribute volume and the scope of described crack attribute thresholds, judge the connectedness of fractured-vuggy reservoir, generate reservoir communication quantitative analysis results, comprising:
Described Effective Reservoirs and described Seismic prediction of fracture attribute volume are merged generation one fused data body, according to the contact relation of described fused data body inside, judges the connectedness of fractured-vuggy reservoir, generate reservoir communication quantitative analysis results.
6. the connective quantitative analysis device of fractured-vuggy reservoir, it is characterized in that, described device comprises:
Porosity cube generation unit, for utilizing earthquake and log data to carry out inverting, obtaining p-wave impedance body, according to the relation between well logging porosity and p-wave impedance, described p-wave impedance body being converted into porosity cube;
Effective Reservoirs determining unit, for using the lower limit of Effective Reservoirs degree of porosity in the described porosity cube obtained by well log interpretation as threshold, determines Effective Reservoirs;
Fracture and cave reservoir border determining unit, for judging the connectedness of described Effective Reservoirs according to the contact relation between described Effective Reservoirs, determines the fracture and cave reservoir border of each Reservoir Body;
Primary earthquake FRACTURE PREDICTION attribute volume extraction unit, for utilizing relevant or curvature algorithm, extracts primary earthquake FRACTURE PREDICTION attribute volume;
Connected relation judging unit, for the connectedness by reservoir between dynamic connectivity analytical method determination well, and judges described fracture and cave reservoir connected relation between any two according to described fracture and cave reservoir border;
Threshold range acquiring unit, for according to described connected relation determination development degree of micro cracks in oil, obtains the scope of the crack attribute thresholds of described primary earthquake FRACTURE PREDICTION attribute volume, and determines Seismic prediction of fracture attribute volume;
Analysis result generation unit, for according to the contact relation of described fracture and cave reservoir and described Seismic prediction of fracture attribute volume and the scope of described crack attribute thresholds, judges the connectedness of fractured-vuggy reservoir, generates reservoir communication quantitative analysis results.
7. the connective quantitative analysis device of fractured-vuggy reservoir according to claim 6, it is characterized in that, the pass between described well logging porosity and p-wave impedance is: along with the increase of degree of porosity, the linear relationship of the corresponding reduction of p-wave impedance.
8. the connective quantitative analysis device of fractured-vuggy reservoir according to claim 6, is characterized in that, described fracture and cave reservoir border determining unit specifically for:
Judge whether there is contact between described Effective Reservoirs, described contact comprises: point cantact, linear contact lay and face contact;
If there is contact between described Effective Reservoirs, then judge between described Effective Reservoirs as connection; Otherwise, judge between described Effective Reservoirs as not being communicated with.
9. the connective quantitative analysis device of fractured-vuggy reservoir according to claim 6, is characterized in that, described threshold range acquiring unit specifically for:
When described connected relation is for being communicated with, in units of a constant, successively reduce the numerical value of described crack attribute thresholds from big to small, until there is crack between two described fracture and cave reservoir, and connection is a fracture-cavity units, using the higher limit of described crack attribute thresholds now as described crack attribute thresholds;
When described connected relation is not for being communicated with, in units of described constant, successively increase the numerical value of described crack attribute thresholds from small to large, until described fracture and cave reservoir separately, using the lower limit of described crack attribute thresholds now as described crack attribute thresholds;
The scope of described crack attribute thresholds is obtained according to the higher limit of described crack attribute thresholds and lower limit.
10. the connective quantitative analysis device of fractured-vuggy reservoir according to claim 6, is characterized in that, described analysis result generation unit specifically for:
Described Effective Reservoirs and described Seismic prediction of fracture attribute volume are merged generation one fused data body, according to the contact relation of described fused data body inside, judges the connectedness of fractured-vuggy reservoir, generate reservoir communication quantitative analysis results.
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Cited By (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106703779A (en) * | 2016-12-02 | 2017-05-24 | 中国石油化工股份有限公司 | Injection-production well pattern construction method suitable for carbonate fractured-cave reservoirs |
| CN106837297A (en) * | 2016-12-22 | 2017-06-13 | 中国石油天然气股份有限公司 | Method for identifying connectivity among wells and predicting oil-water dynamic state |
| CN107045145A (en) * | 2016-12-30 | 2017-08-15 | 中国石油集团川庆钻探工程有限公司地球物理勘探公司 | Indication using prestack seismic amplitude under seismic sequence control is with offset distance change detection fracture hole method |
| CN107083939A (en) * | 2017-06-26 | 2017-08-22 | 中国石油化工股份有限公司 | Three-dimensional development method for the disconnected solution oil reservoir of carbonate rock |
| CN107143312A (en) * | 2017-06-20 | 2017-09-08 | 中国石油化工股份有限公司 | Fracture and vug carbonate reservoir energy self-balancing development approach |
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| CN109116428A (en) * | 2018-07-02 | 2019-01-01 | 中国石油天然气股份有限公司 | Fracture-cavity carbonate reservoir uncertainty modeling method and device |
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| CN111173495A (en) * | 2018-10-23 | 2020-05-19 | 中国石油化工股份有限公司 | Fracture-cavity unit communication condition evaluation method for fracture-cavity oil reservoir |
| CN111596351A (en) * | 2020-04-28 | 2020-08-28 | 中国石油天然气股份有限公司 | Quantitative evaluation method, system and device for carbonate rock transportation and conduction system and storage medium |
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102373923A (en) * | 2010-08-20 | 2012-03-14 | 中国石油天然气股份有限公司 | Reservoir stratum identification method |
| CN102759757A (en) * | 2012-07-06 | 2012-10-31 | 中国石油天然气股份有限公司 | Diabase alteration zone reservoir prediction method based on well-seismic combination |
| CN103413030A (en) * | 2013-07-24 | 2013-11-27 | 中国石油天然气股份有限公司 | Fracture-cavity type carbonate rock gas reservoir dynamic analysis method and system |
| CN103869359A (en) * | 2014-02-25 | 2014-06-18 | 中国石油天然气股份有限公司 | Method and device for predicting cracks through seismic longitudinal wave multi-azimuth attribute elliptic fitting |
-
2015
- 2015-04-20 CN CN201510187396.XA patent/CN104818982B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102373923A (en) * | 2010-08-20 | 2012-03-14 | 中国石油天然气股份有限公司 | Reservoir stratum identification method |
| CN102759757A (en) * | 2012-07-06 | 2012-10-31 | 中国石油天然气股份有限公司 | Diabase alteration zone reservoir prediction method based on well-seismic combination |
| CN103413030A (en) * | 2013-07-24 | 2013-11-27 | 中国石油天然气股份有限公司 | Fracture-cavity type carbonate rock gas reservoir dynamic analysis method and system |
| CN103869359A (en) * | 2014-02-25 | 2014-06-18 | 中国石油天然气股份有限公司 | Method and device for predicting cracks through seismic longitudinal wave multi-azimuth attribute elliptic fitting |
Non-Patent Citations (2)
| Title |
|---|
| 杨鹏飞等: "塔里木盆地奥陶系碳酸盐岩大型缝洞集合体定量描述", 《岩性油气藏》 * |
| 邓兴梁等: "碳酸盐岩油气藏缝洞单元多学科综合划分方法研究——以塔里木盆地轮古11 井区为例", 《海相油气地质》 * |
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