CN102518428A - Oily water layer recognition method and device - Google Patents
Oily water layer recognition method and device Download PDFInfo
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- CN102518428A CN102518428A CN2011103579332A CN201110357933A CN102518428A CN 102518428 A CN102518428 A CN 102518428A CN 2011103579332 A CN2011103579332 A CN 2011103579332A CN 201110357933 A CN201110357933 A CN 201110357933A CN 102518428 A CN102518428 A CN 102518428A
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Abstract
The invention discloses an oily water layer recognition method and device. The method comprises the following steps: analyzing main influencing factors of the well log response characteristic of a reservoir bed; reading well log response characteristic values of a well log interpretation layer corresponding to a test oil layer, and integrating and processing the well log response characteristic values according to the main influencing factors; calibrating the reservoir bed and a non-reservoir bed according to a physical property cross plot and a lithologic character cross plot; recognizing a typical hydrocarbon zone by utilizing an electrical property cross plot and the lithologic character cross plot; eliminating a water layer by using a resistivity ratio and the physical property cross plot; and judging whether an atypical oil layer and an oily water layer are the same layer by utilizing the apparent formation water resistivity and a lithologic character index cross plot. According to the method and device, conventional well log information is mainly utilized, cross plot techniques capable of reflecting cause factors are respectively adopted according to different causes so as to manufacture oily water layer recognition layouts, the main influencing factors of an upper grade are gradually weakened, and the main influencing factors of a next grade are highlighted, so that the oil layer, the oily water layer and the water layer and the like are respectively separated out from different cross plot layouts, thus realizing accurate recognition of the oily water layer under a bad ground condition.
Description
Technical field
The present invention relates to the logging evaluation technical field in the oil exploration, relate in particular to oil-water-layer recognition methods and device.
Background technology
The accurate identification of fluid properties is the core content of complicated reservoirs well logging evaluation, also is the crucial difficult point in the complicated reservoirs well logging evaluation.Along with deepening continuously of exploration and development degree, geological condition becomes increasingly complex, and complex geological conditions has bred the various oil-gas Layer of type, and hidden lithologic deposit constantly comes to light.Along with oil test data is further abundant, in the hidden lithologic deposit of having found,, also there are atypia oil reservoirs such as low-resistance, low contrast except there being the typical oil reservoir that is prone to identification, also be attended by the appearance of high resistant water layer simultaneously.Atypia oil-gas Layer and water layer often occur with typical oil-gas Layer alternately, sometimes or even be mingled in together.If these reservoirs are placed on just discovery in the conventional oil-water-layer identification plate: occurred the part oil-gas Layer in the conventional plate and be mingled in oil-water common-layer even water layer; This explains for the well logging oil-water-layer and has brought great difficulty, causes the oil-water-layer error in judgement.
Conventional method is when carrying out the oil-water-layer evaluation; Adopt the qualitative method that combines with sxemiquantitative to differentiate mostly; On qualitative base of recognition, utilize a certain cross plot to carry out the aid identification of oil-water-layer often, this method is relatively quick and easy, but the scope of application is narrow; It only is applicable to single relatively stratum such as lithology, water-based, that is to say to be only applicable to the single relatively oil-water-layer identification of the origin cause of formation.Yet; Along with deepening continuously of degree of prospecting; Be difficult to run into the single relatively typical oil-water-layer of the origin cause of formation; The coefficient result of the multiple often origin cause of formation of complicated reservoirs who is run at present, for example typical oil reservoir, atypia oil reservoir, oil-water common-layer and part high resistant water layer occur alternately even are mingled in complex situations together, and conventional method is difficult to the complicated reservoirs fluid identification is made accurately reasonably judgement.
Summary of the invention
The embodiment of the invention provides a kind of oil-water-layer recognition methods, and in order to realizing the accurate identification of oil-water-layer under the bad ground condition, for the exploration and development of complex reservoir provides technical support, this oil-water-layer recognition methods comprises:
Analyze the major influence factors of reservoir log response characteristic;
Read the log response characteristic value of the corresponding well log interpretation layer of formation testing layer, integrate, handle the log response characteristic value according to major influence factors;
Adopt rerum natura and lithology cross plot to demarcate reservoir and non-reservoir;
Adopt electrically and the rerum natura cross plot is discerned typical oil-gas Layer;
Adopt resistivity ratio and rerum natura cross plot to reject water layer;
Utilize apparant formation water resistivity and lithologic index cross plot to judge atypia oil reservoir and oil-water common-layer.
The embodiment of the invention also provides a kind of oil-water-layer recognition device, and in order to realizing the accurate identification of oil-water-layer under the bad ground condition, for the exploration and development of complex reservoir provides technical support, this oil-water-layer recognition device comprises:
The analysis of Influential Factors module is used to analyze the major influence factors of reservoir log response characteristic;
The characteristic value processing module is used to read the log response characteristic value of the corresponding well log interpretation layer of formation testing layer, integrates, handles the log response characteristic value according to major influence factors;
First identification module is used to adopt rerum natura and lithology cross plot to demarcate reservoir and non-reservoir;
Second identification module is used for adopting electrically and the rerum natura cross plot is discerned typical oil-gas Layer;
The 3rd identification module is used to adopt resistivity ratio and rerum natura cross plot to reject water layer;
The 4th identification module is used to utilize apparant formation water resistivity and lithologic index cross plot to judge atypia oil reservoir and oil-water common-layer.
The embodiment of the invention is various to type under the complicated reservoirs condition, the oil-gas Layer of a mutual cross occurrence identification difficult problem; The oil-water-layer recognition methods and the device that provide a kind of complicated reservoirs progressively to peel off influence factor, it mainly utilizes the conventional logging data, is the basis with the rock physics experimental analysis; In conjunction with formation testing result and log response characteristic; The major influence factors of Analysis of Complex reservoir log response characteristic according to different origins, adopts the cros splot technique of reflection origin cause of formation factor to make oil-water-layer identification plate respectively; Progressively weaken the major influence factors of upper level; Highlight the major influence factors of time one-level, make oil reservoir, oil-water common-layer, water layer etc. in different cross plot plates, separate respectively, thereby realize the accurate identification of oil-water-layer under the bad ground condition; Can distinguish typical oil reservoir, atypia oil reservoir, oil-water common-layer and water layer in the complicated reservoirs comparatively exactly, for the exploration and development of complex reservoir provides technical support.
Description of drawings
In order to be illustrated more clearly in the embodiment of the invention or technical scheme of the prior art; To do to introduce simply to the accompanying drawing of required use in embodiment or the description of the Prior Art below; Obviously, the accompanying drawing in describing below only is some embodiments of the present invention, for those of ordinary skills; Under the prerequisite of not paying creative work property, can also obtain other accompanying drawing according to these accompanying drawings.In the accompanying drawings:
Fig. 1 is the process chart of oil-water-layer recognition methods in the embodiment of the invention;
Fig. 2 is the sketch map that rerum natura and lithology cross plot are demarcated reservoir and non-reservoir in the embodiment of the invention;
Fig. 3 discerns the sketch map of typical oil-gas Layer for resistivity in the embodiment of the invention and interval transit time cross plot;
Fig. 4 is the sketch map that resistivity ratio and physical parameter cross plot are rejected water layer in the embodiment of the invention;
Fig. 5 is apparant formation water resistivity and the cross plot identification atypia oil-gas Layer of lithologic index and the sketch map of oil-water common-layer in the embodiment of the invention;
Fig. 6 is the sketch map that oil-water-layer recognition methods software is realized result in the embodiment of the invention;
Fig. 7 is the structural representation of oil-water-layer recognition device in the embodiment of the invention.
The specific embodiment
For the purpose, technical scheme and the advantage that make the embodiment of the invention is clearer, the embodiment of the invention is explained further details below in conjunction with accompanying drawing.At this, illustrative examples of the present invention and explanation thereof are used to explain the present invention, but not as to qualification of the present invention.
The factors complex that influences complicated reservoirs resistivity is various; The low-porosity influence that has diagenesis to cause has the influence of thin lithology, heavy shale content, and it also is the key factor that influences reservoir resistivity that mud is invaded; These factors all can cause reservoir resistivity to reduce, and influence the oil-gas Layer accuracy of identification.Therefore, the oil-water-layer identification under the complicated reservoirs condition will be taken all factors into consideration multiple influence factor, can not only consider single factors.
Embodiment of the invention comprehensive considering various effects; And from multiple factor, separate major influence factors step by step, and highlight the major influence factors of time one-level, all only receive the influence of relative single factors until the residue reservoir; New approaches based on this oil-water-layer identification; The embodiment of the invention provides a kind of oil-water-layer recognition methods, and its handling process is as shown in Figure 1, can comprise:
The major influence factors of step 101, analysis reservoir log response characteristic;
Step 102, read the log response characteristic value of the corresponding well log interpretation layer of formation testing layer, integrate, handle the log response characteristic value according to major influence factors;
Step 103, employing rerum natura and lithology cross plot are demarcated reservoir and non-reservoir;
Step 105, employing resistivity ratio and rerum natura cross plot are rejected water layer;
Step 106, utilize apparant formation water resistivity and lithologic index cross plot to judge atypia oil reservoir and oil-water common-layer.
Can learn that by flow process shown in Figure 1 oil-gas Layer various to type under the complicated reservoirs condition in the embodiment of the invention, mutual cross occurrence is discerned a difficult problem, the oil-water-layer recognition methods that provides a kind of complicated reservoirs progressively to peel off influence factor; It mainly utilizes the conventional logging data; Be the basis with the rock physics experimental analysis, in conjunction with formation testing result and log response characteristic, the major influence factors of Analysis of Complex reservoir log response characteristic; According to different origins; Adopt the cros splot technique of reflection origin cause of formation factor to make oil-water-layer identification plate respectively, progressively weaken the major influence factors of upper level, highlight the major influence factors of time one-level; Make oil reservoir, oil-water common-layer, water layer etc. in different cross plot plates, separate respectively; Thereby realize the accurate identification of oil-water-layer under the bad ground condition, can distinguish typical oil reservoir, atypia oil reservoir, oil-water common-layer and water layer in the complicated reservoirs comparatively exactly, for the exploration and development of complex reservoir provides technical support.
During practical implementation; Analyze the major influence factors of reservoir log response characteristic; Can comprise: core analysis chemical examination data, geologic setting data and the corresponding log response characteristic of finishing analysis target block, target zone position, confirm that the major influence factors of reservoir log response characteristic comprises oiliness, lithology, rerum natura and water-based; Divide the reservoir type, confirm to influence the major influence factors of each type reservoir.
Concrete; Core analysis chemical examination data, geologic setting data and the corresponding log response characteristic of finishing analysis target block, target zone position; Can be clearly except that oiliness; Lithology and rerum natura are two kinds of topmost factors of the electrical response characteristic of the complicated clastic reservoir rock of influence, and with the intensification of landing surface buried depth, the significance level that these two kinds of factors are played the part of there are differences.For the shallow-layer reservoir, the variation of oiliness and lithology is the electrical major influence factors of control reservoir; For mid-deep strata, it is except that oiliness and lithology, to influence the electrical key factor of reservoir that reservoir properties changes, and possibly become major influence factors under the certain condition.Though along with the increase of reservoir buried depth, the lithology effect weakens gradually, and do not mean that there is not this type of influence in the part, the lithology factor is very important.So, under the low porosity and low permeability background, receive the identification difficulty of oil-gas Layer of lithologic character controlling bigger.Confirm the influence factor of reservoir log response characteristic during enforcement respectively, divide reservoir type (typical oil reservoir, atypia oil reservoir, high resistant water layer etc.), clearly influence the major influence factors of each type reservoir, can foundation be provided for the realization of progressively peeling off recognition methods.
During practical implementation, read the log response characteristic value of the corresponding well log interpretation layer of formation testing layer, integrate, handle the log response characteristic value, can comprise according to major influence factors:
To each type reservoir, read corresponding log response characteristic value respectively, according to major influence factors, the log response characteristic value that can embody major influence factors is carried out normalization handle, integrate; The log response characteristic value comprises: resistivity, sound wave, neutron, density, lithologic index, resistivity ratio and apparant formation water resistivity;
Wherein, lithologic index adopts following formula to obtain:
Δ GR is a lithologic index, no unit; GR, GR
Min, GR
MaxBe respectively the gamma ray log value of target zone, sharp sand rock stratum, mud stone layer, unit is API;
Apparant formation water resistivity adopts following formula to obtain:
R
wa＝R
t·φ
m
R
WaBe apparant formation water resistivity, unit is Ω m; R
tBe target zone resistivity, unit is Ω m; φ is a degree of porosity, is decimal; M is a cementation factor, obtains through the experiment of rock core rock electricity;
Resistivity ratio reads the resistivity value of the approximate contiguous mud stone section of depositional environment on the basis of reading reservoir resistivity response characteristic value, get both ratio then, that is: R
t/ R
ShR
tBe target zone resistivity, unit is Ω m; R
ShBe the mud stone layer resistivity, unit is Ω m.
Concrete, the logging character Parameter Extraction is to be the basis with a large amount of oil test datas, during enforcement the corresponding well log interpretation layer of formation testing layer is read the log response characteristic value respectively.After clear and definite major influence factors,, the log response characteristic value is integrated, handled to each type reservoir.An instantiation of log response characteristic value data is seen table 1 (listing partial data).
Table 1 is progressively peeled off the original log response characteristic value data of cross plot of influence factor oil-water-layer identification
During practical implementation, adopt rerum natura and lithology cross plot to demarcate reservoir and non-reservoir, can comprise:
With the interval transit time in the log response characteristic value, neutron and density as physical parameter; With the lithologic index in the log response characteristic value as rock parameter; Make the cross plot of this two parameter; Be divided into the classification of reservoir and non-reservoir according to the formation testing result, confirm the boundary of these two types of layers, divide reservoir and non-reservoir.
Concrete, lithology and rerum natura are two kinds of key factors that influence reservoir characteristic, and any reservoir all receives the restriction of these two kinds of factors, and just influence degree there are differences.Shallow-layer is main with lithologic character controlling, and with the intensification of landing surface buried depth, the influence degree of reservoir properties strengthens gradually; Sometimes the influence of rerum natura even surpass oiliness; Therefore, discerning for the complicated reservoirs oil-gas-water layer in the invalid reservoirs such as relatively poor reservoir of rerum natura and dried layer often appears in this situation; The first step work of being done is exactly the interference that at first will exclude invalid reservoir, also promptly at first carries out the identification of effective reservoir.Effectively the achievement in research of reservoir lower limit standard is adopted in the identification of reservoir, just can accomplish well like the sketch map that rerum natura and the lithology cross plot of similar Fig. 2 are demarcated reservoir and non-reservoir.Through the identification of effective reservoir, reject non-reservoir, in numerous influence factors, at first peeled off the influence factor of rerum natura, for first road " gate " is opened in the accurate identification of complicated reservoirs fluid properties.
During practical implementation, adopt electrically and the rerum natura cross plot is discerned typical oil-gas Layer, can comprise:
With the resistivity in the log response characteristic value as electrical parameter; With the interval transit time in the log response characteristic value as physical parameter; Make the cross plot of this two parameter; According to formation testing as a result oil-water-layer be divided into the classification of typical oil reservoir, atypia oil reservoir and water layer, confirm the boundary of typical oil reservoir and other layers, judge typical oil reservoir.
Concrete, adopting rerum natura and lithology cross plot to demarcate on the basis of reservoir and non-reservoir,, carry out fluid properties and differentiate for the effective reservoir that marks off.After having rejected the non-reservoir that rerum natura and lithology cause, in remaining effective reservoir, electrical influence just displays the reservoir oiliness to reservoir, and this moment, oiliness was just played the part of the role of major influence factors.For the higher typical oil-gas Layer of oil saturation, on the log response characteristic, exist than evident difference with other reservoirs (atypia oil-gas Layer, water layer etc.), just can judge through electrically simple and rerum natura contrast.Therefore, the method that generally adopts resistivity as shown in Figure 3 and interval transit time cross plot to discern typical oil-gas Layer just can realize the identification to the typical oil-gas Layer of high oil saturation.This cross plot is applicable to quick judgement typical case oil-gas Layer.
During practical implementation, adopt resistivity ratio and rerum natura cross plot to reject water layer, can comprise:
With the ratio of resistivity in resistivity in the reservoir log response characteristic value and the contiguous mud stone log response characteristic value as the resistivity ratio parameter; With the interval transit time in the log response characteristic value as physical parameter; Make the cross plot of this two parameter; According to formation testing as a result oil-water-layer be divided into the classification of hydrocarbon reservoir and water layer, confirm the boundary of hydrocarbon reservoir and water layer, get rid of water layer.
Concrete, through adopting electrically and after the rerum natura cross plot discerns typical oil-gas Layer, having realized peeling off high oil saturation influence factor.After typical oil-gas Layer identified; In remaining reservoir; Also existing part oil reservoir (low contrast), oil-water common-layer, water layer etc. is mingled in together; At this moment water-based and lithology become the key factor that influences reservoir log response characteristic, and what be concerned about this moment is how hydrocarbon reservoir and pelagic division to be separated.Owing to bury darker; Strong compaction causes reservoir properties variation, low porosity and low permeability characteristic more obvious; And have changeable formation water, cause the mud stone layer resistivity of partial wells section to raise, even the high resistant water layer occurs; Cause lower lithology oil-gas Layer of resistivity and oil-water common-layer, water layer resistivity to be similar to, from electrically distinguishing relatively difficulty.Simple fluid identification plate can not satisfy the fluid identification under this complicated reservoirs condition; Therefore; Change, suppress the influence that real effect causes in order to reject water-based, proposed the method that resistivity ratio as shown in Figure 4 and physical parameter cross plot are rejected water layer, promptly adopt reservoir resistivity and the contiguous mud stone layer resistivity ratio of similar depositional environment and the cross plot of interval transit time; Get rid of water layer, can hydrocarbon reservoir that still mixes and water layer be distinguished preferably.
During practical implementation, utilize apparant formation water resistivity and lithologic index cross plot to judge atypia oil reservoir and oil-water common-layer, can comprise:
Make the cross plot of lithologic index and apparant formation water resistivity in the log response characteristic value, be divided into the classification of oil-water common-layer and atypia oil reservoir, confirm the boundary of these two types of layers, differentiate oil-water common-layer and atypia oil reservoir according to the formation testing result.
Concrete; After rejecting water layer; Can discern non-reservoir, typical oil reservoir and water layer preferably, but also exist part lithology oil-gas Layer and oil-water common-layer to distinguish well, this part oil-gas Layer often lithology is thinner; There is some difference on lithology with oil-water common-layer, and the difference of lithology can embody through natural gamma relative value (lithologic index).This two parts reservoir is under the approximate situation of lithology simultaneously, and also there is faint difference in their rerum natura, adds the difference of oiliness, and this two species diversity can characterize through comprehensive parameter apparant formation water resistivity.Therefore, can find out that by Fig. 5 this cross plot can distinguish oil reservoir, oil-water common-layer well through the cross plot identification atypia oil-gas Layer and the oil-water common-layer of apparant formation water resistivity as shown in Figure 5 and lithologic index.
After Fig. 6 is step 103～step 106 software modularity in the embodiment of the invention, to the result sketch map of some some interval of well.As can beappreciated from fig. 6; The embodiment of the invention not only can be accomplished (62 layers in typical oil reservoir; The formation testing result is an oil reservoir) processing, and can accomplish (46 layers of atypia oil reservoir (88 and 89 layers, the formation testing result is an oil reservoir) and oil-water common-layers; The formation testing result is an oil-water common-layer) processing, result and formation testing result are in full accord.This explanation embodiment of the invention has tangible practical application effect in clastic complex hydrocarbon water layer interpretation and evaluation, can provide the technical support of guarantee for the oil field prospecting exploitation.
A kind of oil-water-layer recognition device also is provided in the embodiment of the invention, of following embodiment.Because the principle of this device solves problem is similar with the oil-water-layer recognition methods, so the enforcement of this device can repeat part and repeat no more referring to the enforcement of oil-water-layer recognition methods.
As shown in Figure 7, the oil-water-layer recognition device in the embodiment of the invention can comprise:
Analysis of Influential Factors module 701 is used to analyze the major influence factors of reservoir log response characteristic;
Characteristic value processing module 702 is used to read the log response characteristic value of the corresponding well log interpretation layer of formation testing layer, integrates, handles the log response characteristic value according to major influence factors;
The 3rd identification module 705 is used to adopt resistivity ratio and rerum natura cross plot to reject water layer;
The 4th identification module 706 is used to utilize apparant formation water resistivity and lithologic index cross plot to judge atypia oil reservoir and oil-water common-layer.
Among the embodiment, analysis of Influential Factors module 701 specifically can be used for:
Core analysis chemical examination data, geologic setting data and the corresponding log response characteristic of finishing analysis target block, target zone position confirm that the major influence factors of reservoir log response characteristic comprises oiliness, lithology, rerum natura and water-based;
Divide the reservoir type, confirm to influence the major influence factors of each type reservoir.
Among the embodiment, characteristic value processing module 702 specifically can be used for:
To each type reservoir, read corresponding log response characteristic value respectively, according to major influence factors, the log response characteristic value that can embody major influence factors is carried out normalization handle, integrate; The log response characteristic value comprises: resistivity, sound wave, neutron, density, lithologic index, resistivity ratio and apparant formation water resistivity;
Wherein, lithologic index adopts following formula to obtain:
Δ GR is a lithologic index, no unit; GR, GR
Min, GR
MaxBe respectively the gamma ray log value of target zone, sharp sand rock stratum, mud stone layer, unit is API;
Apparant formation water resistivity adopts following formula to obtain:
R
wa＝R
t·φ
m
R
WaBe apparant formation water resistivity, unit is Ω m; R
tBe target zone resistivity, unit is Ω m; φ is a degree of porosity, is decimal; M is a cementation factor, obtains through the experiment of rock core rock electricity;
Resistivity ratio reads the resistivity value of the approximate contiguous mud stone section of depositional environment on the basis of reading reservoir resistivity response characteristic value, get both ratio then, that is: R
t/ R
ShR
tBe target zone resistivity, unit is Ω m; R
ShBe the mud stone layer resistivity, unit is Ω m.
Among the embodiment, first identification module 703 specifically can be used for:
With the interval transit time in the log response characteristic value, neutron and density as physical parameter; With the lithologic index in the log response characteristic value as rock parameter; Make the cross plot of this two parameter; Be divided into the classification of reservoir and non-reservoir according to the formation testing result, confirm the boundary of these two types of layers, divide reservoir and non-reservoir.
Among the embodiment, second identification module 704 specifically can be used for:
With the resistivity in the log response characteristic value as electrical parameter; With the interval transit time in the log response characteristic value as physical parameter; Make the cross plot of this two parameter; According to formation testing as a result oil-water-layer be divided into the classification of typical oil reservoir, atypia oil reservoir and water layer, confirm the boundary of typical oil reservoir and other layers, judge typical oil reservoir.
Among the embodiment, the 3rd identification module 705 specifically can be used for:
With the ratio of resistivity in resistivity in the reservoir log response characteristic value and the contiguous mud stone log response characteristic value as the resistivity ratio parameter; With the interval transit time in the log response characteristic value as physical parameter; Make the cross plot of this two parameter; According to formation testing as a result oil-water-layer be divided into the classification of hydrocarbon reservoir and water layer, confirm the boundary of hydrocarbon reservoir and water layer, get rid of water layer.
Among the embodiment, the 4th identification module 706 specifically can be used for:
Make the cross plot of lithologic index and apparant formation water resistivity in the log response characteristic value, be divided into the classification of oil-water common-layer and atypia oil reservoir, confirm the boundary of these two types of layers, differentiate oil-water common-layer and atypia oil reservoir according to the formation testing result.
In sum, the embodiment of the invention is various to type under the complicated reservoirs condition, the oil-gas Layer of a mutual cross occurrence identification difficult problem, the oil-water-layer recognition methods and the device that provide a kind of complicated reservoirs progressively to peel off influence factor; It mainly utilizes the conventional logging data; Be the basis with the rock physics experimental analysis, in conjunction with formation testing result and log response characteristic, the major influence factors of Analysis of Complex reservoir log response characteristic; According to different origins; Adopt the cros splot technique of reflection origin cause of formation factor to make oil-water-layer identification plate respectively, progressively weaken the major influence factors of upper level, highlight the major influence factors of time one-level; Make oil reservoir, oil-water common-layer, water layer etc. in different cross plot plates, separate respectively; Thereby realize the accurate identification of oil-water-layer under the bad ground condition, can distinguish typical oil reservoir, atypia oil reservoir, oil-water common-layer and water layer in the complicated reservoirs comparatively exactly, for the exploration and development of complex reservoir provides technical support.
Those skilled in the art should understand that embodiments of the invention can be provided as method, system or computer program.Therefore, the present invention can adopt the form of the embodiment of complete hardware embodiment, complete software embodiment or combination software and hardware aspect.And the present invention can be employed in the form that one or more computer-usable storage medium (including but not limited to magnetic disc store, CD-ROM, optical memory etc.) that wherein include computer usable program code go up the computer program of implementing.
The present invention is that reference is described according to the flow chart and/or the block diagram of method, equipment (system) and the computer program of the embodiment of the invention.Should understand can be by the flow process in each flow process in computer program instructions realization flow figure and/or the block diagram and/or square frame and flow chart and/or the block diagram and/or the combination of square frame.Can provide these computer program instructions to the processor of all-purpose computer, special-purpose computer, Embedded Processor or other programmable data processing device to produce a machine, make the instruction of carrying out through the processor of computer or other programmable data processing device produce to be used for the device of the function that is implemented in flow process of flow chart or a plurality of flow process and/or square frame of block diagram or a plurality of square frame appointments.
These computer program instructions also can be stored in ability vectoring computer or the computer-readable memory of other programmable data processing device with ad hoc fashion work; Make the instruction that is stored in this computer-readable memory produce the manufacture that comprises command device, this command device is implemented in the function of appointment in flow process of flow chart or a plurality of flow process and/or square frame of block diagram or a plurality of square frame.
These computer program instructions also can be loaded on computer or other programmable data processing device; Make on computer or other programmable devices and to carry out the sequence of operations step producing computer implemented processing, thereby the instruction of on computer or other programmable devices, carrying out is provided for being implemented in the step of the function of appointment in flow process of flow chart or a plurality of flow process and/or square frame of block diagram or a plurality of square frame.
Above-described specific embodiment; The object of the invention, technical scheme and beneficial effect have been carried out further explain, and institute it should be understood that the above is merely specific embodiment of the present invention; And be not used in qualification protection scope of the present invention; All within spirit of the present invention and principle, any modification of being made, be equal to replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (14)
1. an oil-water-layer recognition methods is characterized in that, this method comprises:
Analyze the major influence factors of reservoir log response characteristic;
Read the log response characteristic value of the corresponding well log interpretation layer of formation testing layer, integrate, handle the log response characteristic value according to major influence factors;
Adopt rerum natura and lithology cross plot to demarcate reservoir and non-reservoir;
Adopt electrically and the rerum natura cross plot is discerned typical oil-gas Layer;
Adopt resistivity ratio and rerum natura cross plot to reject water layer;
Utilize apparant formation water resistivity and lithologic index cross plot to judge atypia oil reservoir and oil-water common-layer.
2. the method for claim 1 is characterized in that, analyzes the major influence factors of reservoir log response characteristic, comprising:
Core analysis chemical examination data, geologic setting data and the corresponding log response characteristic of finishing analysis target block, target zone position confirm that the major influence factors of reservoir log response characteristic comprises oiliness, lithology, rerum natura and water-based;
Divide the reservoir type, confirm to influence the major influence factors of each type reservoir.
3. the method for claim 1 is characterized in that, reads the log response characteristic value of the corresponding well log interpretation layer of formation testing layer, integrates, handles the log response characteristic value according to major influence factors, comprising:
To each type reservoir, read corresponding log response characteristic value respectively, according to major influence factors, the log response characteristic value that can embody major influence factors is carried out normalization handle, integrate; The log response characteristic value comprises: resistivity, sound wave, neutron, density, lithologic index, resistivity ratio and apparant formation water resistivity;
Wherein, lithologic index adopts following formula to obtain:
Δ GR is a lithologic index, no unit; GR, GR
Min, GR
MaxBe respectively the gamma ray log value of target zone, sharp sand rock stratum, mud stone layer, unit is API;
Apparant formation water resistivity adopts following formula to obtain:
R
wa＝R
t·φ
m
R
WaBe apparant formation water resistivity, unit is Ω m; R
tBe target zone resistivity, unit is Ω m; φ is a degree of porosity, is decimal; M is a cementation factor, obtains through the experiment of rock core rock electricity;
Resistivity ratio reads the resistivity value of the approximate contiguous mud stone section of depositional environment on the basis of reading reservoir resistivity response characteristic value, get both ratio then, that is: R
t/ R
ShR
tBe target zone resistivity, unit is Ω m; R
ShBe the mud stone layer resistivity, unit is Ω m.
4. like claim 1,2 or 3 described methods, it is characterized in that, adopt rerum natura and lithology cross plot to demarcate reservoir and non-reservoir, comprising:
With the interval transit time in the log response characteristic value, neutron and density as physical parameter; With the lithologic index in the log response characteristic value as rock parameter; Make the cross plot of this two parameter; Be divided into the classification of reservoir and non-reservoir according to the formation testing result, confirm the boundary of these two types of layers, divide reservoir and non-reservoir.
5. like claim 1,2 or 3 described methods, it is characterized in that, adopt electrically and the rerum natura cross plot is discerned typical oil-gas Layer, comprising:
With the resistivity in the log response characteristic value as electrical parameter; With the interval transit time in the log response characteristic value as physical parameter; Make the cross plot of this two parameter; According to formation testing as a result oil-water-layer be divided into the classification of typical oil reservoir, atypia oil reservoir and water layer, confirm the boundary of typical oil reservoir and other layers, judge typical oil reservoir.
6. like claim 1,2 or 3 described methods, it is characterized in that, adopt resistivity ratio and rerum natura cross plot to reject water layer, comprising:
With the ratio of resistivity in resistivity in the reservoir log response characteristic value and the contiguous mud stone log response characteristic value as the resistivity ratio parameter; With the interval transit time in the log response characteristic value as physical parameter; Make the cross plot of this two parameter; According to formation testing as a result oil-water-layer be divided into the classification of hydrocarbon reservoir and water layer, confirm the boundary of hydrocarbon reservoir and water layer, get rid of water layer.
7. like claim 1,2 or 3 described methods, it is characterized in that, utilize apparant formation water resistivity and lithologic index cross plot to judge atypia oil reservoir and oil-water common-layer, comprising:
Make the cross plot of lithologic index and apparant formation water resistivity in the log response characteristic value, be divided into the classification of oil-water common-layer and atypia oil reservoir, confirm the boundary of these two types of layers, differentiate oil-water common-layer and atypia oil reservoir according to the formation testing result.
8. an oil-water-layer recognition device is characterized in that, this device comprises:
The analysis of Influential Factors module is used to analyze the major influence factors of reservoir log response characteristic;
The characteristic value processing module is used to read the log response characteristic value of the corresponding well log interpretation layer of formation testing layer, integrates, handles the log response characteristic value according to major influence factors;
First identification module is used to adopt rerum natura and lithology cross plot to demarcate reservoir and non-reservoir;
Second identification module is used for adopting electrically and the rerum natura cross plot is discerned typical oil-gas Layer;
The 3rd identification module is used to adopt resistivity ratio and rerum natura cross plot to reject water layer;
The 4th identification module is used to utilize apparant formation water resistivity and lithologic index cross plot to judge atypia oil reservoir and oil-water common-layer.
9. device as claimed in claim 8 is characterized in that, said analysis of Influential Factors module specifically is used for:
Core analysis chemical examination data, geologic setting data and the corresponding log response characteristic of finishing analysis target block, target zone position confirm that the major influence factors of reservoir log response characteristic comprises oiliness, lithology, rerum natura and water-based;
Divide the reservoir type, confirm to influence the major influence factors of each type reservoir.
10. device as claimed in claim 8 is characterized in that, said characteristic value processing module specifically is used for:
To each type reservoir, read corresponding log response characteristic value respectively, according to major influence factors, the log response characteristic value that can embody major influence factors is carried out normalization handle, integrate; The log response characteristic value comprises: resistivity, sound wave, neutron, density, lithologic index, resistivity ratio and apparant formation water resistivity;
Wherein, lithologic index adopts following formula to obtain:
Δ GR is a lithologic index, no unit; GR, GR
Min, GR
MaxBe respectively the gamma ray log value of target zone, sharp sand rock stratum, mud stone layer, unit is API;
Apparant formation water resistivity adopts following formula to obtain:
R
wa＝R
t·φ
m
R
WaBe apparant formation water resistivity, unit is Ω m; R
tBe target zone resistivity, unit is Ω m; φ is a degree of porosity, is decimal; M is a cementation factor, obtains through the experiment of rock core rock electricity;
Resistivity ratio reads the resistivity value of the approximate contiguous mud stone section of depositional environment on the basis of reading reservoir resistivity response characteristic value, get both ratio then, that is: R
t/ R
ShR
tBe target zone resistivity, unit is Ω m; R
ShBe the mud stone layer resistivity, unit is Ω m.
11., it is characterized in that said first identification module specifically is used for like claim 8,9 or 10 described devices:
With the interval transit time in the log response characteristic value, neutron and density as physical parameter; With the lithologic index in the log response characteristic value as rock parameter; Make the cross plot of this two parameter; Be divided into the classification of reservoir and non-reservoir according to the formation testing result, confirm the boundary of these two types of layers, divide reservoir and non-reservoir.
12., it is characterized in that said second identification module specifically is used for like claim 8,9 or 10 described devices:
With the resistivity in the log response characteristic value as electrical parameter; With the interval transit time in the log response characteristic value as physical parameter; Make the cross plot of this two parameter; According to formation testing as a result oil-water-layer be divided into the classification of typical oil reservoir, atypia oil reservoir and water layer, confirm the boundary of typical oil reservoir and other layers, judge typical oil reservoir.
13., it is characterized in that said the 3rd identification module specifically is used for like claim 8,9 or 10 described devices:
With the ratio of resistivity in resistivity in the reservoir log response characteristic value and the contiguous mud stone log response characteristic value as the resistivity ratio parameter; With the interval transit time in the log response characteristic value as physical parameter; Make the cross plot of this two parameter; According to formation testing as a result oil-water-layer be divided into the classification of hydrocarbon reservoir and water layer, confirm the boundary of hydrocarbon reservoir and water layer, get rid of water layer.
14., it is characterized in that said the 4th identification module specifically is used for like claim 8,9 or 10 described devices:
Make the cross plot of lithologic index and apparant formation water resistivity in the log response characteristic value, be divided into the classification of oil-water common-layer and atypia oil reservoir, confirm the boundary of these two types of layers, differentiate oil-water common-layer and atypia oil reservoir according to the formation testing result.
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