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The Logging Evaluation On Reservoir In4Area Of HDD4Oil Field

Posted on:2013-04-07Degree:MasterType:Thesis
Country:ChinaCandidate:T FuFull Text:PDF
GTID:2180330467452926Subject:Oil and gas field development geology
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After more than ten years of exploration and development,the carboniferous Donghe sandstone reservoir of HDD oil field which was found by the well Ft21drilled in1988has built the capacity of nearly two million tons.The past studies of Donghe sandstone have many problems and insufficiencies,such as the accuracy of the3D geological model which is setted up based on interpreterted vertical wells’ reservoir parameters,the horizontal wells have not been explained, and a lot of their logging information have not been used, there are mang kinds of criterias for reservoir classification. For the purposes of sciencely adjusting the development plans and reasonably establishing the new plans,this paper collecte the geological data,logging date,core date and testing for oil date to make the study of four properties research, quantitative interpretation of reservoir parameter, oil layers and water layers identification, interlayer characteristics and distribution, geological modeling, reservoir classification and distribution evaluation.HDD oilfiled is located in the HDD structural belt which is in Manjiaer sag of Tarim basin, the carboniferous Donghe sandstone reservoir is a composite reservoir that is the combination of many son reservoirs which have level oil-water interfaces with a stairs shape of oil-water interface,and it is in a larger stratigraphic and anticlinal composite trap,and it deposits No barrier wave accused of sandy transgresive phase,develops14small land layers.The related material of purpose layer is statisticed to inductive the characteristic of four aspects.Donghe sandstone reservoir section of the majority is fine sandstone and lithic quartz-sandstone,The cementation things is the main part of the interstitial content with little.Porosity’s distribution interval is11.43~22.14%,and the average is15.76%.Permeability’s distribution interval is0.06~1000×10-3μm2,nd the average is322.80×10-3μm2.Natural potential and natural gamma ray logging curve presebt the box with basic toothless.Deep induction and middle induction resistivity logging curve have the characteristics of bench-shape,according it we can qualitative estimate the oil-water interface.%, and it’s resistivity is commonly greater than0.5Ω·m, when it contains oil.Positioning the vertical wells’cores, and selecting standard layers to standardize the logging dates.After that, suring every logging curve’s maximum value and minimum value,in this case,normalize all logging curves.Nnnliner neural network is used to establish porosity explanation and permeability explanation with high precision. Network forecast porosities’mean absolute error is1.43%, and network forecast permeabilities’ mean relative error is35.26%. Based on this,34vertical wells’porosities and permeabilities of purpose layers are explained, and the water saturations are calculated with Archie formula. The accuracy of this explanation is improved greatly, and its results can be the good date bass for the study of interlayer identification, geological model and reservoir classification.Based on Statisticing and summarizing horizontal well logging cruves’ response characteristics in purpose layers, correcting horizontal wells’logging curves with the reference to the corresponding vertical wells’ logging curves.Making vertical wells’ core analysis porosities and permeabilities as the output of nonlinear artifical neural network, porosity explanation and permeability explanation with high precision have been established.The correlation coefficient of network forecast porosities and cores analysis porosities is0.899, and permeabilities’0.943. Based on this, explaining27horizontal wells’ porosities and permeabilities of purpose layers, and the water saturations are calculated with Archie formula. This is the first time to explain horizontal wells’ reservoir parameters and have a high accuracy. The result can be used in geological model and make it more comprehensive.Statisticing and summarizing oil and water layers’ response characteristics of logging cruves and explained porosities, permeabilities and water saturations in vertical wells, the standard of oil and water layers’ identification is setted up, then discriminant fluid types of34vertical wells’purpose layers. Combined with the geological structure, the original oil-water interface is determined at altitude-4126m, and it can provide the basis for the geological model and reserves review.There are three kinds of intercalation types:calcareous intercalation, calclum intercalation, shale intercalation.The majority is calclum intercalation. Based on statisticing and summarizing intercalation layers’ response characteristics of logging cruves and explained porosities, permeabilities and water saturations in vertical wells, the standard of intercalations’identification is setted up, then discriminant intercalations of34vertical wells’ purpose layers. After statisticing the development conditions of single vertical well’s intercalations in the aspects of layers’ number and thickness, the planar distributions is drawed, we can find that the intercalation development condition in the west of the study area is better than in the east. The reach of intercalation layer has the importangt meaning of stopping side and bottom water assaulting, and control the rise of moisture content.Established Donghe sandstone’s3D geological modle contains tectonic model, lithfacies model and attribute model. For the study area is small rang, single sedimentary facies, rare shale and most of sandstone, lithfacies model is simulating intercalation and filling sandstone phase in background.Using the stochastic modeling method to establish the porosity, permeability, saturation models with it as the restraint condition. Attribute model can characterize quantitatively the whole study area’s and every small layer’s parameters space distribution characteristics.There are four kinds of reservoirs in Donghe sandstone. Based on Statisticing and summarizing characteristics of vertical wells’ logging cruves from the I kind to the Ⅳ kind, the logging cruve intersections drawn and the standard of reservoirs’ identification is setted up. After statisticing the development conditions of single vertical well’s reservoirs in the aspects of layers’ number and thickness, the planar distributions is drawed.The reservoirs development condition in the west of the study area is better than in the east which consistent with the planar distributions of intercalation. Reservoir distribution characteristics provide a basis for the study of the remaining oil distribution, and the potential areas are certained by the distribution of good reservoirs to prove a guidance of infilling development wells.
Keywords/Search Tags:Donghe sandstone, Reservoir parameters interpretation, Oil and waterrecognition, Intercalation recognition, 3D geological modle, Reservoirclassification
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