Shear wave velocity is one of the important parameters reflecting lithological and physical properties reservoirs, it widely used in fields lithology fluid property identification, reservoir evaluation, seismic data processing, interpretation. However, due to high cost challenge obtaining shear velocity, only a few key wells are measured. Considering intricate nonlinear mapping relationship between conventional logging data, an integrated network incorporating attention mechanism,...

In the process of oil and natural gas exploration development, density logging curves play a crucial role, providing essential evidence for identifying lithology, calculating reservoir parameters, analyzing fluid properties. Due to factors such as instrument failure wellbore enlargement, data some well segments may become distorted or missing during actual process. To address this issue, paper proposes curve reconstruction model that integrates multi-head self-attention mechanism (MSA) with...

In the production development stages of volatile oil reservoirs and condensate gas reservoirs, especially in early production, phenomenon high gas–oil ratio often occurs. As a result, prediction results are greatly deviated from actual situation, which seriously affects implementation potential excavation increases operation for reservoirs. Therefore, accurate identification is key to improve efficiency However, due similar geophysical logging response characteristics gas, oil, light...

Building a 3D porosity model for the carbonate reservoir is crucial planning of hydrocarbon development. However, properly estimating using wireline logs still challenge task due to complexity vugs. We treat estimate as an optimization problem and propose by integrating several kinds petrophysics data. begin with establishing series linear equations between logs. The objective computing value that simultaneously minimizes defined equations. multi-functions minimization can successfully...

With the deepening of exploration and development, many low-resistivity reservoirs have been found in XP area. We that genesis these is they contain a lot very fine sand, which leads to high content bound water reduces resistivity. Compared with normal oil reservoirs, show low resistivity natural gamma, makes it difficult identify qualitatively calculate parameters quantitatively. Using conventional logging interpretation methods, wrong shale porosity will be obtained, such may even judged...

Deep and ultra-deep reservoirs are characterized by low porosity permeability, pronounced heterogeneity, complex pore structures, complicating permeability evaluations. Permeability, directly influencing the fluid production capacity of reservoirs, is a key parameter in comprehensive reservoir assessments. In X Depression, low-porosity low-permeability formations present highly discrete variable core data points for rendering single-variable regression models ineffective. Consequently,...

The accurate identification of [Formula: see text] nonhydrocarbon gas layers plays an important role in the exploration and development natural reservoirs. logging response characteristics containing hydrocarbon are very similar because there fluids both kinds layers, which leads to uncertainty interpretation results types. We have developed a comprehensive method for by using text]-relative content apparent porosity. First, based on formation component bulk volume model coexisting reservoir...

Abstract The H formation of the Y gas field in X depression belongs to a low-permeability tight sandstone reservoir affected by sedimentation, diagenesis, and cementation. lithology pore structure target layer are complex, with strong physical heterogeneity complex pore-permeability relationships. Conventional core permeability regression nuclear magnetic resonance software-defined radio methods do not satisfy requirements for precise evaluation terms calculation accuracy. Based on principle...

The No. 2 gas field in the X depression is a low-permeability tight reservoir with complex lithology, pore structure, and strong physical heterogeneity, conventional core porosity–permeability regression method does not meet requirements of fine evaluation terms accuracy permeability calculation. flow unit has great advantages improving calculation, but FZI calculation too ideal weakens influence structure’s it needs to be verified that study area good correlation structure before can used....

Secondary pores are the main reservoir space and transportation channel of oil gas in reef limestone reservoir. At present, method calculating secondary porosity is restricted by morphological characteristics spectrum, regional artificial influence, accuracy calculation. We present a new for nuclear magnetic resonance <math xmlns="http://www.w3.org/1998/Math/MathML" id="M2"> <msub> <mrow> <mi>T</mi> </mrow> <mn>2</mn> </msub> </math> spectrum which calibrated casting thin section. begin with...

Recently, theoretical modeling based on rock physics has emerged as a pivotal approach to studying the resistivity of complex fractured–cavernous microstructures. In this work, study effects structures carbonate reservoir resistivity, electrical conductivity models were developed effective medium theory and Ohm’s Law, simulations performed examine how porosity matrix, formation water parameters microstructure affect rocks saturated with petroleum or water. Furthermore, results revealed...

Abstract A buried hill reservoir is a special type of bedrock reservoir, in which fractures are the important space and main percolation path. However, due to characteristics such as deep burial depth high formation pressure, fracture width generally micron level, randomness spatial development brings great difficulties logging identification parameter calculation. Based on porosity saturation model dual pore model, this paper puts forward theory identifying fractured by using conductivity...