Lower Paleozoic carbonatite Ma51+2gas reservoirs in Yulin Gasfield,located on the east side of Jingbian ancient submarine platform of Ordos Basin,which is the expanded part of the developed Ma51+2 gas reservoir in the Jingbian Gasfield.Under the effect of drilling and the production characteristics,the Lower Paleozoic reservoir shows good development potential.Because the heterogeneity of reservoir is strong,the data of early gas field is not rich enough,and the density of well pattern is relatively low.There is a certain degree of error in the proven reserves.At the same time,it is in the process of rolling development of the gas field.Because avoided the thin reservoir and the poor physical property,the actual use of geological reserves and the early submission of the proven geological reserves are different.This will influence the accuracy of the calculation results of the development index of gas recovery rate,recovery degree,recovery ratio and so on.In view of the problem,many methods are adopted to separate gas reservoirs into relatively independent flow units.By carrying out the gas-bearing area and reserves of each flow unit,it is more accurate and reliable to verify the actual geological reserves obtained by excluding the undeveloped area in the gas-bearing area.The dynamic reserves of gas wells are calculated by using many methods.The dynamic reserves of gas fields are calculated by area weighted method and flow unit method.On the basis of this,the dynamic ratio of reserves is calculated,which lays a foundation for accurate calculation of gas recovery.According to the economic evaluation and gas reservoir engineering research,the waste gas and waste formation pressure will be confirmed in the gas field.Combined with the dynamic reservesand its ratio for the geological reserves, the recovery of the different geological reserves will be calculated finally.Through comparison and analysis,the geological reserves ratio are proved to be of greaterror.Itismorescientificandpractical to verify the geological reserves ratio to be practical,to have lateral comparability.The dynamic geological reserve ratio excluded the ineffective reserves of non-seepage,which is more accurate and reliable.

The development of Ordovician carbonate reservoir in Ordos Basin was obviously controlled by burial dissolution,while the condition and environment of fluid-rock interaction in the deep stratum were much more complicated than the epigenic karstification,which increased the difficulty of burial dissolution study,reservoir evaluation and prediction.This contribution aimed to study the dissolution effects on carbonate rocks with different mineralogical compositions and petrofabric in acetic acid and CO2 solution,under burial environment with simultaneously changing temperature (30℃ ～ 180℃) and pressure (5～50 Mpa) by equipment of water-rock interaction.For this simulation experiment,the typical six carbonates samples were collected from the Kelimoli and Majiagou Formation of Ordovician in Ordos Basin.The results showed that:1) The dissolution rates of carbonate rocks all increased in acetic acid,while tended to increase firstly when the temperature reached from 30℃ to 120℃ and pressure reached from 5 Mpa to 30 Mpa,then decreased gradually in CO2solution with increasing temperature and pressure.The dissolution peak scope were between 110℃ to 130℃ under the condition where CO2 solution acted as dissolution fluid.However,when exceeded the peak,the differentiation of corrosion rates gradually decreased and kept the same in the deep burial settings.2) Burial dissolution was not only controlled by petrofabric and mineralogical composition,the size and connectivity of pre-existing pores also palyed an important role,except for the condition of temperature,pressure and fluids,the occurrence of crystal could also have significant impact on the dissolution of post diagenesis.As the selective solution of petrofabric,the rocks with lower content of insoluble mineral such as clay mineral and quartz,high grain micrite ratio and complex components were likely more easier to dissolve.With the increase of the calcite content,dissolution rates of carbonate rocks increased as well,but mineral composition content differences contributed little in the deep buried digenetic environments.Anhydrite was prior to dissolution and further developped as gypsum mould pores,at the same time promoted dolomite to dissolve and improve reservoir,when it developed along with dolomite.In terms of different lithology,limestones were more likely to occur burial dissolution than dolomite and transitional rock types.The burial dissolution rates and intensity of calcarenite and gypsodolomite were superior compared with other rock,thus when they inherited the pre-existing pores conducted by the early selective corrosion pore and modulated,superposed with late burial karstification,they were able to become high quality reservoirs based on the analysis in combination with the actual geological conditions.

传统水平井产能预测计算由解析解法与丰解析解法确定,有极大的局限性,所以在应用中常常预测不够准确.本文选择BP神经网络算法,通过输入信息神经网络权值和阀值作用,计算各层误差,依次对权值和阀值进行修改,达到高精度、快速逼近样本的目的.最后用训练好的网络来进行神木水平井产能预测.仿真结果表明,神经网络算法应用效果显著,预测值与实际值相对误差在±10％之内,能够满足工程精度要求.

Shang23 sandstone in Zizhou gas field of Ordos Basin is a typical reservoir with low porosity and permeability. Its average porosity is 4.94 % and its average permeability is 0.78×10-3μm2. The main pore types are residual inter-granular pore, dissolved pore and inter-crystalline pore. The main pore structure is medium coarse aperture and thin throat. The Shang23 tight reservoir has experienced complex diagenesis, such as compaction, cementation and dissolution. The destructive diagenesis of compaction and cementation sharply reduce the primary pores of the reservoir so as to lower the porosity and permeability, which result in the tight-ness of the reservoir. According to the researches, depositional environment is the basic controlling factor of the formation of the tight sandstone reservoir, and interstitial matter has an important influence on the physical property of the reservoir, with the in-creasing of which the physical property get poorer. Diagenesis is the determining factor in reservoir tightening, while the underwa-ter distributary channel sands in delta front have the best physical property, and the central part of the sand body is better than the side parts.

In view of the loss of effective signal of conventional ground-roll removal techniques, in this paper we develop a new multi-scale and multi-directional method of removing ground roll based on the second generation Curvelet transform. Firstly, the seismic data is assigned to multiple scales and directions by Curvelet transform. According to different characteristics of ground rolls and waves in different scales and different directions, a flow of ground-roll removal based on multi-curvelet transform is devised. Making full use of the characteristic of non-overlapping in Curvelet domain, Curvelet coefficient that only contains ground rolls is processed. Finally we get the ground roll removal data. Applying this method to synthetical data and real field data sets indicates that it can suppress ground rolls, meanwhile, also greatly maintain signals. The method is proved to be an effective and preserved-amplitude denoising approach.

气井的产能是气藏工程中的重要参数，是指导气井调配产和编制方案的主要依据。气井产能通常是通过气井试井来完成的，气井试井周期长、成本相对较高。影响气井产能最主要的因素是储层物性及地层压力，储层物性和地层压力的求取相对容易，前人也做过一些利用测井解释的储层物性、地层压力等静态资料预测气井产能的一些研究。预测产能肯定没有试井产能准确，但是预测产能在井网不完善井区，来预测加密产建能力；新井刚测井后预测产能指导后续的产建工作方面具有积极作用，2009年靖边气田产能建设加大了上古气井建产力度，主要利用丛式井来开上古气藏，一个丛式井场有两到四口井组成，井网密度大大增加，井数增多，试气工作量增大。若能利用静态资料来预测气井产能，一方面节省了大量费用、另一方面缩短了建产周期，因此，本文试图研究靖边气田上古气井产能快速预测方法研究，希望能够解决现场问题。

The production capacity of the south block of Yulin gas field has reached 20×108m3/a since it was put into production in 2001. The south block of Yulin Gas Field is of great development difficulty because it is a low permeability gas reservoir which produces small proportion of gas condensate. To develop the south block efficiently and reasonably, eight supporting technologies were analyzed on the basis of summarizing the low temperature separation (LTS) technology used in the south block and its application performance. The eight supporting technologies consists of high pressure gas gathering technology, centralized methanol injection technology, multi-well heating technology, throttling refrigeration, intermittent metering, LTS, production data automatic collection and monitoring and gas-driven power generation technology. The operation characteristics and performances of LTS technology were studied and evaluated. The result offered references for future upgrade on LTS technology used in the south block.