The K 1 d gas reservoir of Houwujiahu gas field belongs in tight gas reservoir,being characterized by bad petrophysical property,relatively low natural production capacity and serious reservoir damage.

Research outputs indicate that there are apparent differences between the distribution rules and values of geologic curvature for each sandlayer, the overall difference among the curvature values of each sandlayer has a very good matching relation with the overall difference among the production capacity of each sandlayer, and fine statistical relation exists between the natural production capacity and geologic curvature value of each well point in each sandlayer.

The environmental goal deals with maintaining the natural production capacity, preserving biodiversity, and protecting the cultural heritage.

The K 1 d gas reservoir of Houwujiahu gas field belongs in tight gas reservoir,being characterized by bad petrophysical property,relatively low natural production capacity and serious reservoir damage.In this paper,starting from the analysis of the gas reservoir's geological feature and the reservoir damage factors,the research on sand fracturing technology for this gas reservoir is carried out.Firstly,the optimization of the fracturing fluid formulation,proppant and fracturing technology design is...

The K 1 d gas reservoir of Houwujiahu gas field belongs in tight gas reservoir,being characterized by bad petrophysical property,relatively low natural production capacity and serious reservoir damage.In this paper,starting from the analysis of the gas reservoir's geological feature and the reservoir damage factors,the research on sand fracturing technology for this gas reservoir is carried out.Firstly,the optimization of the fracturing fluid formulation,proppant and fracturing technology design is made.Finally,the fracturing fluid system of guar gun organic boron with low frictional resistance,low damage and delayed crosslinking effect is selected to be used.For the sand adding procedure,the quartz sand with tail haydite is used.In view of the reservoir distribution and wellbore condition,the protection of casing with packer,fracturing lower single interval with tubing,fracturing intermediate interval with two packers separating upper and lower intervals and ball off fracturing technology are used respectively.A better stimulation effect has been obtained in the three wells fractured in 1999,of which,the open flow capacity of well no.2 before fracturing was 0.721×10 4m 3 and after fracturing,a commercial production value was obtained,the productivity having multiplied 8.2 times.Through tackling with the key problems,the sand fracturing technology for K 1 d gas reservoir of Houwujiahu gas field was solved in the main.The K 1 d gas reservoir can be reformed into the reservoir with commercial production value through sand fracturing,finding out thus an effective way to develop this kind of gas reservoirs in the future.

As a traditional fracturepredicting method, curvature analysis was gradually improved in the long period of application. The geologic curvature used in this paper is a new kind of curvaturecalculating method for geologic layers, which processes strictness in mathematics and practical significance in geology. The geologic targets of this research are three sandlayers with stable distribution laterally in a certain Jurassic formation. The previous research of this area investigated fracture distribution rules...

As a traditional fracturepredicting method, curvature analysis was gradually improved in the long period of application. The geologic curvature used in this paper is a new kind of curvaturecalculating method for geologic layers, which processes strictness in mathematics and practical significance in geology. The geologic targets of this research are three sandlayers with stable distribution laterally in a certain Jurassic formation. The previous research of this area investigated fracture distribution rules by the supersurface structural map of the overall formation; only a series of simple and qualitative conclusions were obtained about the relation between structure and fracture distribution. To reveal the controlling effect of structure upon fracture distribution, the structural map of each sandlayer supersurface was interpreted accurately with threedimensional seismic data, the supersurface geologic curvature of each sandlayer was calculated with the new improved geologic curvaturecalculating method, and the geologic curvature values were used as fracturepredicting parameters. Research outputs indicate that there are apparent differences between the distribution rules and values of geologic curvature for each sandlayer, the overall difference among the curvature values of each sandlayer has a very good matching relation with the overall difference among the production capacity of each sandlayer, and fine statistical relation exists between the natural production capacity and geologic curvature value of each well point in each sandlayer. Curvature analysis proved the existence of compound structures in the study area, and revealed that fractures often develop in the superimposed of structures. All this conclusions are of significance for fracture prediction before drilling.

This paper discusses weighted division of multi layer combined test production based on fuzzy theory.A method for logging prediction of production capacity of combined test zones was developed. Classifications and clustering features were determined by self organizing Mapping(SOM) and total fuzzy iteration(TFI). The production capacity of combined test zones was divided into single layer data sets by weights on membership to fuzzy classes. The natural production capacity of reservoirs was established...

This paper discusses weighted division of multi layer combined test production based on fuzzy theory.A method for logging prediction of production capacity of combined test zones was developed. Classifications and clustering features were determined by self organizing Mapping(SOM) and total fuzzy iteration(TFI). The production capacity of combined test zones was divided into single layer data sets by weights on membership to fuzzy classes. The natural production capacity of reservoirs was established by genetic neural network.Satisfactory results have been achieved by applying the method to 52 combined test zones of 16 wells in gas fields of middle Ordos basin.