Well log­ging dig­i­tal­iza­tion

Well log­ging dig­i­ti­za­tion, includ­ing the old funds of wells, is one of the geo­phys­i­cal data inter­pre­ta­tion’ con­stituents. This is nec­es­sary to increase the reli­a­bil­i­ty and accu­ra­cy of oil and gas explo­ration, to form three-dimen­sion­al geo­log­i­cal mod­els, to jus­ti­fy well drilling, to devel­op deposit plans, to cal­cu­late oil and gas reserves, and so on.

For dig­i­tiz­ing well log dia­grams, mod­ern com­put­er equip­ment and soft­ware are used. Dig­i­tiz­ing well log dia­grams is an impor­tant process in geo­log­i­cal and petro­le­um explo­ration. A well log dia­gram is a graph­i­cal rep­re­sen­ta­tion that shows var­i­ous phys­i­cal prop­er­ties of rock for­ma­tions and reser­voir rocks in drilled wells. Dig­i­tiz­ing these dia­grams allows them to be trans­formed into numer­i­cal data that can be processed and ana­lyzed using com­put­er pro­grams.

The process of dig­i­tiz­ing well log dia­grams begins with obtain­ing a paper ver­sion of the dia­gram, typ­i­cal­ly con­sist­ing of rows of curves rep­re­sent­ing var­i­ous mea­sure­ments. These mea­sure­ments may include gam­ma-ray, induc­tion, den­si­ty, spe­cif­ic elec­tri­cal con­duc­tiv­i­ty, and oth­ers.

Mod­ern tech­nolo­gies allow for var­i­ous meth­ods of dig­i­tiz­ing well log dia­grams. One of them involves using spe­cial­ized soft­ware that enables auto­mat­ed scan­ning and curve recog­ni­tion on the dia­gram. This process involves detect­ing and extract­ing curves, deter­min­ing their para­me­ters, and sav­ing the obtained data as numer­i­cal val­ues.

Anoth­er method of dig­i­ti­za­tion involves man­u­al tech­niques, where an expert traces the curves on the paper dia­gram and man­u­al­ly inputs the cor­re­spond­ing val­ues into the com­put­er. This approach can be time-con­sum­ing but allows for greater accu­ra­cy in deter­min­ing curve para­me­ters.

After dig­i­tiz­ing well log dia­grams, the data can under­go fur­ther analy­sis and pro­cess­ing. These numer­i­cal data can be used to cal­cu­late var­i­ous petro­phys­i­cal para­me­ters, deter­mine prop­er­ties of rock for­ma­tions and reser­voirs, and con­struct geo­log­i­cal mod­els. Addi­tion­al­ly, these data can be sub­ject­ed to var­i­ous data analy­sis algo­rithms and meth­ods to iden­ti­fy cor­re­la­tions, trends, and fea­tures in rock prop­er­ties. For exam­ple, sta­tis­ti­cal analy­sis can be con­duct­ed using mea­sures such as mean, vari­ance, cor­re­la­tion, and oth­er indi­ca­tors. Clas­si­fi­ca­tion and clus­ter analy­sis meth­ods can also be applied to group rocks based on their char­ac­ter­is­tics.

The dig­i­tized data from well log dia­grams can also be uti­lized to build three-dimen­sion­al mod­els of the for­ma­tion and reser­voirs. These mod­els allow for the visu­al­iza­tion of the geo­log­i­cal struc­ture and rock prop­er­ties with­in the wells, aid­ing in deci­sion-mak­ing regard­ing oil and gas extrac­tion, reser­voir devel­op­ment plan­ning, and the iden­ti­fi­ca­tion of new reser­voirs.

Dig­i­tiz­ing well log dia­grams has become an inte­gral part of mod­ern geo­log­i­cal and oil and gas research. This process pro­vides access to valu­able infor­ma­tion that helps study geo­log­i­cal con­di­tions, deter­mine the poten­tial of oil and gas reser­voirs, and enhances resource extrac­tion effi­cien­cy.

One of the main meth­ods for pro­cess­ing dig­i­tized data is the con­struc­tion of lin­ear and non­lin­ear regres­sion mod­els. These mod­els estab­lish rela­tion­ships between dif­fer­ent para­me­ters and enable the pre­dic­tion of one para­me­ter based on oth­ers. For exam­ple, a regres­sion mod­el can be built to reflect the cor­re­la­tion between gam­ma-ray read­ings and the pres­ence of a reser­voir, which is cru­cial for iden­ti­fy­ing reser­voir rocks. Addi­tion­al­ly, dig­i­tized data can under­go fil­ter­ing, smooth­ing, and oth­er sig­nal pro­cess­ing oper­a­tions. This allows for the extrac­tion of impor­tant rock char­ac­ter­is­tics and the elim­i­na­tion of noise or arti­facts that may occur dur­ing drilling and mea­sure­ments.

After pro­cess­ing, dig­i­tized data can be used for var­i­ous pur­pos­es. For exam­ple, they can be uti­lized for map­ping the dis­tri­b­u­tion of rock prop­er­ties in wells, assess­ing poten­tial reser­voir zones, and iden­ti­fy­ing nar­row flow zones. Addi­tion­al­ly, this data can be employed for con­struct­ing three-dimen­sion­al reser­voir mod­els and geo­log­i­cal sim­u­la­tions, which help under­stand the struc­ture and prop­er­ties of reser­voirs in the geo­log­i­cal space.

Fur­ther­more, dig­i­tized data from well log dia­grams can be used for devel­op­ing math­e­mat­i­cal mod­els and machine learn­ing algo­rithms. By train­ing mod­els on a large vol­ume of dig­i­tized data, sys­tems for auto­mat­ic recog­ni­tion and clas­si­fi­ca­tion of rocks based on well log para­me­ters can be devel­oped. This con­tributes to the automa­tion of well log data analy­sis and enables faster and more accu­rate results.

In gen­er­al, dig­i­tiz­ing well log dia­grams is an impor­tant tool in geo­log­i­cal and oil and gas research. It allows trans­form­ing visu­al infor­ma­tion into numer­i­cal data that can be ana­lyzed, mod­eled, and used for deci­sion-mak­ing in the oil and gas extrac­tion indus­try. Dig­i­ti­za­tion enhances the effi­cien­cy of research, aids in the iden­ti­fi­ca­tion of new reser­voirs, and ensures opti­mal resource extrac­tion.

For more infor­ma­tion on this or oth­er ser­vices, please con­tact us at +38(044) 465–75-86, +38(067) 286–84-14, or email insgeoua@gmail.com.